{"id":58,"date":"2018-01-30T15:10:18","date_gmt":"2018-01-30T15:10:18","guid":{"rendered":"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/?page_id=58"},"modified":"2018-02-18T03:37:21","modified_gmt":"2018-02-18T03:37:21","slug":"data","status":"publish","type":"page","link":"https:\/\/www.cs.jhu.edu\/~mdredze\/data\/","title":{"rendered":"Data"},"content":{"rendered":"<p>I provide data and code so that others can reproduce or compare against my results. Email me if you are looking for something you don&#8217;t see below.<\/p>\n<section id=\"huge_it_portfolio_content_3\"\r\n         style=\"clear: both\"\r\n         class=\"portfolio-gallery-content \"\r\n         data-portfolio-id=\"3\">\r\n\t<div id=\"huge-it-container-loading-overlay_3\"><\/div>\r\n\t\t\t\t\t\t<div id=\"huge_it_portfolio_container_3\"\r\n\t     data-show-loading=\"on\"\r\n\t     data-show-center=\"off\"\r\n\t     class=\"huge_it_portfolio_container super-list variable-sizes clearfix view-full-width\" >\r\n\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2022-06-27 11:27:59<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">52<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2022\/06\/Coronavirus_3D_illustration_by_CDC_1600x900.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group1-3\"\r\n                                       data-description=\" This dataset contains tweets related to COVID-19. The dataset contains Twitter ids, from which you can download the original data directly from Twitter. Additionally, we include the date, keywords related to COVID-19 and the inferred geolocation. Check detailed information at http:\/\/twitterdata.covid19dataresources.org\/index.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations\" data-groupID=\"1-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img0\"\r\n                                            data-title=\" Coronavirus_3D_illustration_by_CDC_1600x900\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2022\/06\/Coronavirus_3D_illustration_by_CDC_1600x900.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>This dataset contains tweets related to COVID-19. The dataset contains Twitter ids, from which you can download the original data directly from Twitter. Additionally, we include the date, keywords related to COVID-19 and the inferred geolocation. Check detailed information at http:\/\/twitterdata.covid19dataresources.org\/index.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"https:\/\/zenodo.org\/record\/6618419#.YrnMkOzMIek\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Demographics Race\/Ethnicity Training Data\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2021-12-10 13:37:34<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">51<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2021\/12\/face-4509703_1280.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group2-3\"\r\n                                       data-description=\" Our paper, \u201cUsing Noisy Self-Reports to Predict Twitter User Demographics,\u201d produced a dataset of Twitter users whose profile descriptions may self-report their race or ethnicity. We used this dataset to train classifiers for these demographic labels, and showed that models trained on the collected data perform better on gold standard survey data than models trained only on crowd-sourced data. We distribute the trained models.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Demographics Race\/Ethnicity Training Data\" data-groupID=\"2-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Demographics Race\/Ethnicity Training Data\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img1\"\r\n                                            data-title=\" face-4509703_1280\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2021\/12\/face-4509703_1280.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Demographics Race\/Ethnicity Training Data<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>Our paper, \u201cUsing Noisy Self-Reports to Predict Twitter User Demographics,\u201d produced a dataset of Twitter users whose profile descriptions may self-report their race or ethnicity. We used this dataset to train classifiers for these demographic labels, and showed that models trained on the collected data perform better on gold standard survey data than models trained only on crowd-sourced data. We distribute the trained models.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.cs.jhu.edu\/~mdredze\/demographics-training-data\/\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Civil Unrest on Twitter (CUT)\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2020-12-02 22:20:56<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">50<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2019\/02\/twitter-api.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group3-3\"\r\n                                       data-description=\" Tweets labeled with information related to protest, riots and civil unrest on Twitter. Based on Justin Sech, Alexandra DeLucia, Anna L Buczak, Mark Dredze. Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest. EMNLP Workshop on Noisy User-generated Text (W-NUT), 2020\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Civil Unrest on Twitter (CUT)\" data-groupID=\"3-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Civil Unrest on Twitter (CUT)\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img2\"\r\n                                            data-title=\" twitter-api\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2019\/02\/twitter-api.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Civil Unrest on Twitter (CUT)<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>Tweets labeled with information related to protest, riots and civil unrest on Twitter. Based on Justin Sech, Alexandra DeLucia, Anna L Buczak, Mark Dredze. Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest. EMNLP Workshop on Noisy User-generated Text (W-NUT), 2020<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"https:\/\/github.com\/AADeLucia\/JHU-CUT\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Named Entity Recognition for Chinese Social Media (Weibo)\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2020-06-09 09:57:16<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">48<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2020\/02\/papers.jpg\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group4-3\"\r\n                                       data-description=\" This dataset contains messages selected from Weibo and annotated according to the DEFT ERE annotation guidelines. Annotations include both name and nominal mentions. The corpus contains 1,890 messages sampled from Weibo between November 2013 and December 2014.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Named Entity Recognition for Chinese Social Media (Weibo)\" data-groupID=\"4-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Named Entity Recognition for Chinese Social Media (Weibo)\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img3\"\r\n                                            data-title=\" papers\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2020\/02\/papers.jpg\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Named Entity Recognition for Chinese Social Media (Weibo)<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>This dataset contains messages selected from Weibo and annotated according to the DEFT ERE annotation guidelines. Annotations include both name and nominal mentions. The corpus contains 1,890 messages sampled from Weibo between November 2013 and December 2014.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"https:\/\/github.com\/hltcoe\/golden-horse\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Vaccine Related English Tweets from the United States: 2016 to 2018\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2019-09-08 12:38:57<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">45<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/12\/weaponized_twitter.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group5-3\"\r\n                                       data-description=\" A list of tweet ids sampled from the 1% feed that contain vaccine related keywords. All tweets are in English (according to the Twitter provided metadata) and have been geolocated to the United States (using Carmen).\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Vaccine Related English Tweets from the United States: 2016 to 2018\" data-groupID=\"5-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Vaccine Related English Tweets from the United States: 2016 to 2018\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img4\"\r\n                                            data-title=\" weaponized_twitter\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/12\/weaponized_twitter.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Vaccine Related English Tweets from the United States: 2016 to 2018<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>A list of tweet ids sampled from the 1% feed that contain vaccine related keywords. All tweets are in English (according to the Twitter provided metadata) and have been geolocated to the United States (using Carmen).<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/vaccine_english.2016_2018.ids.gz\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Annotated Gun Control\/Rights Tweets\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2019-02-22 14:35:02<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">44<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2019\/02\/twitter-api.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group6-3\"\r\n                                       data-description=\" This dataset contains 50k (automatically) annotated tweets about gun control and gun rights. It was used in our paper:\r\n\r\nAdrian Benton, Mark Dredze. Using Author Embeddings to Improve Tweet Stance Classification. EMNLP Workshop on Noisy User-generated Text (W-NUT), 2018.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Annotated Gun Control\/Rights Tweets\" data-groupID=\"6-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Annotated Gun Control\/Rights Tweets\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img5\"\r\n                                            data-title=\" twitter-api\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2019\/02\/twitter-api.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Annotated Gun Control\/Rights Tweets<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>This dataset contains 50k (automatically) annotated tweets about gun control and gun rights. It was used in our paper:\r\n\r\nAdrian Benton, Mark Dredze. Using Author Embeddings to Improve Tweet Stance Classification. EMNLP Workshop on Noisy User-generated Text (W-NUT), 2018.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/benton_gun_tweets_wnut_2018.zip\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Annotations for &quot;Weaponized Health Communication&quot;\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-12-15 23:50:30<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">42<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/12\/weaponized_twitter.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group7-3\"\r\n                                       data-description=\" This contains 10k tweet annotations for our paper:\r\nWeaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Annotations for &quot;Weaponized Health Communication&quot;\" data-groupID=\"7-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Annotations for &quot;Weaponized Health Communication&quot;\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img6\"\r\n                                            data-title=\" weaponized_twitter\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/12\/weaponized_twitter.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Annotations for \"Weaponized Health Communication\"<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>This contains 10k tweet annotations for our paper:\r\nWeaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/2018_ajph_weaponized_health_10k.zip\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"CLPsych Shared Task\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-03-06 07:42:10<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">40<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group8-3\"\r\n                                       data-description=\" The Computational Linguistics and Clinical Psychology (CLPsych) workshop has hosted shared and unshared tasks for several years. In 2015 the shared task used data from Twitter users who state a diagnosis of depression or post traumatic stress disorder (PTSD) along with demographically-matched community controls. The shared task provided an apples-to-apples comparisons of various approaches to modeling language relevant to mental health from social media. The shared task consisted of three binary classification experiments: (1) depression versus control, (2) PTSD versus control, and (3) depression versus PTSD.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"CLPsych Shared Task\" data-groupID=\"8-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"CLPsych Shared Task\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img7\"\r\n                                            data-title=\" \"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >CLPsych Shared Task<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>The Computational Linguistics and Clinical Psychology (CLPsych) workshop has hosted shared and unshared tasks for several years. In 2015 the shared task used data from Twitter users who state a diagnosis of depression or post traumatic stress disorder (PTSD) along with demographically-matched community controls. The shared task provided an apples-to-apples comparisons of various approaches to modeling language relevant to mental health from social media. The shared task consisted of three binary classification experiments: (1) depression versus control, (2) PTSD versus control, and (3) depression versus PTSD.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/clpsych-2015-shared-task-evaluation\/\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"RateMD Dataset\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-17 22:40:45<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">39<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group9-3\"\r\n                                       data-description=\" This dataset contains the reviews from RateMD with aspect ratings that was used in this paper: &lt;br&gt;\r\nByron C. Wallace, Michael J. Paul, Urmimala Sarkar, Thomas A. Trikalinos, Mark Dredze. A Large-Scale Quantitative Analysis of Latent Factors and Sentiment in Online Doctor Reviews. Journal of the American Medical Informatics Association (JAMIA), 2014;21(6):1098--1103. \"\r\n\t\t\t\t\t\t\t\t\t   title=\"RateMD Dataset\" data-groupID=\"9-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"RateMD Dataset\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img8\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >RateMD Dataset<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>This dataset contains the reviews from RateMD with aspect ratings that was used in this paper: <br>\r\nByron C. Wallace, Michael J. Paul, Urmimala Sarkar, Thomas A. Trikalinos, Mark Dredze. A Large-Scale Quantitative Analysis of Latent Factors and Sentiment in Online Doctor Reviews. Journal of the American Medical Informatics Association (JAMIA), 2014;21(6):1098--1103. <\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/rate_md.zip\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Zika Conspiracy Tweets\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-17 22:40:17<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">38<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group10-3\"\r\n                                       data-description=\" This dataset contains annotations for whether a tweet about Zika contains pseudo-scientific information. Analysis of this dataset was published in: &lt;br&gt;\r\nMark Dredze, David A Broniatowski, Karen M Hilyard. Zika Vaccine Misconceptions: A social media analysis. Vaccine, 2016. \"\r\n\t\t\t\t\t\t\t\t\t   title=\"Zika Conspiracy Tweets\" data-groupID=\"10-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Zika Conspiracy Tweets\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img9\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Zika Conspiracy Tweets<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>This dataset contains annotations for whether a tweet about Zika contains pseudo-scientific information. Analysis of this dataset was published in: <br>\r\nMark Dredze, David A Broniatowski, Karen M Hilyard. Zika Vaccine Misconceptions: A social media analysis. Vaccine, 2016. <\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/zika_conspiracy.json.gz\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Vaccination Sentiment and Relevance Tweets\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-17 22:39:39<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">37<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group11-3\"\r\n                                       data-description=\" This dataset contains annotations for whether a tweet is relevant to the topic of vaccinations, and if the author is expressing a positive or negative view about vaccines. Analysis of this dataset was published in: &lt;br&gt;\r\nMichael Smith, David A. Broniatowski, Mark Dredze. Using Twitter to Examine Social Rationales for Vaccine Refusal. International Engineering Systems Symposium (CESUN), 2016. &lt;br&gt;\r\nMark Dredze, David A. Broniatowski, Michael Smith, Karen M. Hilyard. Understanding Vaccine Refusal: Why We Need Social Media Now. American Journal of Preventive Medicine, 2015. \"\r\n\t\t\t\t\t\t\t\t\t   title=\"Vaccination Sentiment and Relevance Tweets\" data-groupID=\"11-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Vaccination Sentiment and Relevance Tweets\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img10\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Vaccination Sentiment and Relevance Tweets<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>This dataset contains annotations for whether a tweet is relevant to the topic of vaccinations, and if the author is expressing a positive or negative view about vaccines. Analysis of this dataset was published in: <br>\r\nMichael Smith, David A. Broniatowski, Mark Dredze. Using Twitter to Examine Social Rationales for Vaccine Refusal. International Engineering Systems Symposium (CESUN), 2016. <br>\r\nMark Dredze, David A. Broniatowski, Michael Smith, Karen M. Hilyard. Understanding Vaccine Refusal: Why We Need Social Media Now. American Journal of Preventive Medicine, 2015. <\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/vaccine_relevance_sentiment.json.zip\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Flu Vaccination Tweets\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-17 22:38:54<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">36<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group12-3\"\r\n                                       data-description=\" This dataset contains annotations for whether a tweet is relevant to the topic of flu vaccination, and if the author intends to receive a flu vaccine. Analysis of this dataset was published in: &lt;br&gt;\r\nXiaolei Huang, Michael C. Smith, Michael Paul, Dmytro Ryzhkov, Sandra Quinn, David Broniatowski, Mark Dredze. Examining Patterns of Influenza Vaccination in Social Media. AAAI Joint Workshop on Health Intelligence (W3PHIAI), 2017. \"\r\n\t\t\t\t\t\t\t\t\t   title=\"Flu Vaccination Tweets\" data-groupID=\"12-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Flu Vaccination Tweets\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img11\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Flu Vaccination Tweets<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>This dataset contains annotations for whether a tweet is relevant to the topic of flu vaccination, and if the author intends to receive a flu vaccine. Analysis of this dataset was published in: <br>\r\nXiaolei Huang, Michael C. Smith, Michael Paul, Dmytro Ryzhkov, Sandra Quinn, David Broniatowski, Mark Dredze. Examining Patterns of Influenza Vaccination in Social Media. AAAI Joint Workshop on Health Intelligence (W3PHIAI), 2017. <\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/flu_vaccine.json.gz\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Named Entity Recognition and Entity Linking for Speech\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-06 12:00:07<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">33<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group13-3\"\r\n                                       data-description=\" This corpus contains broadcast news transcripts annotated for named entities and entity linking against the TAC KBP 2009 corpus. This was used in our NAACL 2015 paper &quot;Entity Linking for Spoken Language&quot; and in our 2011 Interspeech paper:&lt;br&gt;\r\n Carolina Parada, Mark Dredze, Frederick Jelinek. OOV Sensitive Named-Entity Recognition in Speech. International Speech Communication Association (INTERSPEECH), 2011.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Named Entity Recognition and Entity Linking for Speech\" data-groupID=\"13-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Named Entity Recognition and Entity Linking for Speech\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img12\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Named Entity Recognition and Entity Linking for Speech<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>This corpus contains broadcast news transcripts annotated for named entities and entity linking against the TAC KBP 2009 corpus. This was used in our NAACL 2015 paper \"Entity Linking for Spoken Language\" and in our 2011 Interspeech paper:<br>\r\n Carolina Parada, Mark Dredze, Frederick Jelinek. OOV Sensitive Named-Entity Recognition in Speech. International Speech Communication Association (INTERSPEECH), 2011.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"https:\/\/github.com\/mdredze\/speech_ner_entity_linking_data\/\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Twitter Grammy XDoc Corpus: Entity Linking and Disambiguation\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-06 11:58:01<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">32<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group14-3\"\r\n                                       data-description=\" This corpus contains tweets about the Grammy Award ceromony annotated for entity linking and cross document coreference resolution (entity disambigutation). The corpus is described in our paper:&lt;br&gt;\r\nMark Dredze, Nicholas Andrews, Jay DeYoung. Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation. EMNLP Workshop on Natural Language Processing for Social Media, 2016.\r\n\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Twitter Grammy XDoc Corpus: Entity Linking and Disambiguation\" data-groupID=\"14-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Twitter Grammy XDoc Corpus: Entity Linking and Disambiguation\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img13\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Twitter Grammy XDoc Corpus: Entity Linking and Disambiguation<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>This corpus contains tweets about the Grammy Award ceromony annotated for entity linking and cross document coreference resolution (entity disambigutation). The corpus is described in our paper:<br>\r\nMark Dredze, Nicholas Andrews, Jay DeYoung. Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation. EMNLP Workshop on Natural Language Processing for Social Media, 2016.\r\n<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"https:\/\/bitbucket.org\/mdredze\/tgx\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Twitter Health Keywords\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-06 11:57:14<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">31<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group15-3\"\r\n                                       data-description=\" These files contain the keywords we use to collect and identify health related tweets. \"\r\n\t\t\t\t\t\t\t\t\t   title=\"Twitter Health Keywords\" data-groupID=\"15-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Twitter Health Keywords\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img14\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Twitter Health Keywords<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>These files contain the keywords we use to collect and identify health related tweets. <\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/figshare.com\/articles\/Discovering_health_topics_in_social_media_using_topic_models\/1007712\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Health Twitter Annotations\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-06 11:55:01<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">30<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group16-3\"\r\n                                       data-description=\" These annotations were created for the paper:&lt;br&gt;\r\nMichael J. Paul, Mark Dredze. A Model for Mining Public Health Topics from Twitter. Technical Report -, Johns Hopkins University, 2011. &lt;br&gt;\r\nThe annotations label tweets as they relate to health. The annotations are described on page 2 of the paper. The file includes tweet ids which you can use to download the data. \"\r\n\t\t\t\t\t\t\t\t\t   title=\"Health Twitter Annotations\" data-groupID=\"16-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Health Twitter Annotations\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img15\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Health Twitter Annotations<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>These annotations were created for the paper:<br>\r\nMichael J. Paul, Mark Dredze. A Model for Mining Public Health Topics from Twitter. Technical Report -, Johns Hopkins University, 2011. <br>\r\nThe annotations label tweets as they relate to health. The annotations are described on page 2 of the paper. The file includes tweet ids which you can use to download the data. <\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/health_tweetIDs.txt\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Influenza Twitter Annotations\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-06 11:54:02<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">29<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group17-3\"\r\n                                       data-description=\" These annotations were created for the paper:&lt;br&gt;\r\nAlex Lamb, Michael J. Paul, Mark Dredze. Separating Fact from Fear: Tracking Flu Infections on Twitter. North American Chapter of the Association for Computational Linguistics (NAACL), 2013. &lt;br&gt;\r\nThe annotations label tweets are related to influenza, awareness vs. infection and if the tweet is about the author or someone else. The files include tweet ids which you can use to download the data. \"\r\n\t\t\t\t\t\t\t\t\t   title=\"Influenza Twitter Annotations\" data-groupID=\"17-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Influenza Twitter Annotations\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img16\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Influenza Twitter Annotations<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>These annotations were created for the paper:<br>\r\nAlex Lamb, Michael J. Paul, Mark Dredze. Separating Fact from Fear: Tracking Flu Infections on Twitter. North American Chapter of the Association for Computational Linguistics (NAACL), 2013. <br>\r\nThe annotations label tweets are related to influenza, awareness vs. infection and if the tweet is about the author or someone else. The files include tweet ids which you can use to download the data. <\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/naacl13_flu_data.zip\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Twitter Named Entity Recognition Dataset\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-06 11:47:07<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">28<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group18-3\"\r\n                                       data-description=\" A collection of tweets tagged for named entities. These were created as described in this &lt;a href=&quot;http:\/\/www.cs.jhu.edu\/~mdredze\/publications\/amt_ner.pdf&quot;&gt;paper&lt;\/a&gt;. Thanks to &lt;a href=&quot;http:\/\/dirkhovy.com\/&quot;&gt;Dirk Hovy&lt;\/a&gt; for preparing\r\nthe data as part of his LREC 2014 paper, which contains &lt;a href=&quot;https:\/\/bitbucket.org\/lowlands\/release&quot;&gt;a larger collection of Twitter NER data&lt;\/a&gt;.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Twitter Named Entity Recognition Dataset\" data-groupID=\"18-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Twitter Named Entity Recognition Dataset\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img17\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Twitter Named Entity Recognition Dataset<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>A collection of tweets tagged for named entities. These were created as described in this <a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/publications\/amt_ner.pdf\">paper<\/a>. Thanks to <a href=\"http:\/\/dirkhovy.com\/\">Dirk Hovy<\/a> for preparing\r\nthe data as part of his LREC 2014 paper, which contains <a href=\"https:\/\/bitbucket.org\/lowlands\/release\">a larger collection of Twitter NER data<\/a>.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/cs.jhu.edu\/~mdredze\/datasets\/twitter_ner.zip\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Twitter Hurricane Sandy Dataset\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-06 11:45:20<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">27<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group19-3\"\r\n                                       data-description=\" A collection of tweets from areas hit by hurricane Sandy (2012) in the United States. This dataset is meant for research in social media disaster response. \r\n&lt;br&gt;\r\nHaoyu Wang, Eduard Hovy, Mark Dredze. The Hurricane Sandy Twitter Corpus. AAAI Workshop on the World Wide Web and Public Health Intelligence, 2015.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Twitter Hurricane Sandy Dataset\" data-groupID=\"19-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Twitter Hurricane Sandy Dataset\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img18\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Twitter Hurricane Sandy Dataset<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>A collection of tweets from areas hit by hurricane Sandy (2012) in the United States. This dataset is meant for research in social media disaster response. \r\n<br>\r\nHaoyu Wang, Eduard Hovy, Mark Dredze. The Hurricane Sandy Twitter Corpus. AAAI Workshop on the World Wide Web and Public Health Intelligence, 2015.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"https:\/\/github.com\/mdredze\/twitter_sandy\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Twitter First Name, Last Name, and Location Clusters\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-06 11:44:11<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">26<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group20-3\"\r\n                                       data-description=\" A set of clusters extracted from Twitter that contains firstnames, lastnames, and locations. We used this in our NAACL 2013 paper:&lt;br&gt;\r\nShane Bergsma, Mark Dredze, Benjamin Van Durme, Theresa Wilson, David Yarowsky. Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter. North American Chapter of the Association for Computational Linguistics (NAACL), 2013.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Twitter First Name, Last Name, and Location Clusters\" data-groupID=\"20-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Twitter First Name, Last Name, and Location Clusters\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img19\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Twitter First Name, Last Name, and Location Clusters<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>A set of clusters extracted from Twitter that contains firstnames, lastnames, and locations. We used this in our NAACL 2013 paper:<br>\r\nShane Bergsma, Mark Dredze, Benjamin Van Durme, Theresa Wilson, David Yarowsky. Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter. North American Chapter of the Association for Computational Linguistics (NAACL), 2013.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/old-site.clsp.jhu.edu\/~sbergsma\/TwitterClusters\/\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Enron Attachment Prediction Email\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-06 11:43:47<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">25<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group21-3\"\r\n                                       data-description=\" Enron emails annotated with attachment information and cleaned of numerous artifacts inserted by email programs. Unfortunately, I don&#039;t have a copy of the attachments. Very few groups had that data, and I am not aware of anyone who currently has a copy. Email me for the data.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Enron Attachment Prediction Email\" data-groupID=\"21-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Enron Attachment Prediction Email\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img20\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Enron Attachment Prediction Email<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>Enron emails annotated with attachment information and cleaned of numerous artifacts inserted by email programs. Unfortunately, I don't have a copy of the attachments. Very few groups had that data, and I am not aware of anyone who currently has a copy. Email me for the data.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Multi-Domain Sentiment Dataset\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-05 23:10:32<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">24<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group22-3\"\r\n                                       data-description=\" Product reviews from several different product types taken from Amazon.com. This dataset is from:&lt;br&gt;\r\nJohn Blitzer, Mark Dredze, Fernando Pereira. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification. Association for Computational Linguistics (ACL), 2007.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"Multi-Domain Sentiment Dataset\" data-groupID=\"22-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Multi-Domain Sentiment Dataset\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img21\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Multi-Domain Sentiment Dataset<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>Product reviews from several different product types taken from Amazon.com. This dataset is from:<br>\r\nJohn Blitzer, Mark Dredze, Fernando Pereira. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification. Association for Computational Linguistics (ACL), 2007.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/sentiment\/\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"Image Spam Dataset \" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-05 23:08:40<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">23<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group23-3\"\r\n                                       data-description=\" A collection of ham and spam images taken from real user email. This dataset is from:&lt;br&gt;\r\nMark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach. Learning Fast Classifiers for Image Spam. Conference on Email and Anti-Spam (CEAS), 2007. \"\r\n\t\t\t\t\t\t\t\t\t   title=\"Image Spam Dataset \" data-groupID=\"23-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"Image Spam Dataset \"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img22\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >Image Spam Dataset <\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>A collection of ham and spam images taken from real user email. This dataset is from:<br>\r\nMark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach. Learning Fast Classifiers for Image Spam. Conference on Email and Anti-Spam (CEAS), 2007. <\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/image_spam\/\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div\r\n\t\t\t\tclass=\"portelement portelement_3 colorbox_grouping   \" data-symbol=\"TAC 2009 Entity Linking\" data-category=\"alkaline-earth\">\r\n\t\t\t\t<div class=\"left-block_3\">\r\n\t\t\t\t\t<div class=\"main-image-block_3 add-H-relative\">\r\n                        <p style=\"display:none;\" class=\"load_date\">2018-02-05 23:04:46<\/p>\r\n                        <p style=\"display:none;\" class=\"number\">22<\/p>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"\r\n\t\t\t\t\t\t\t\t\t   class=\" portfolio-group24-3\"\r\n                                       data-description=\" A collection of manually linked training examples to supplement those provided in the TAC 2009 KBP task. These are described in my Coling 2010 paper on entity linking. If you use this data, please cite:&lt;br&gt;\r\nMark Dredze, Paul McNamee, Delip Rao, Adam Gerber, Tim Finin. Entity Disambiguation for Knowledge Base Population. Conference on Computational Linguistics (Coling), 2010.\"\r\n\t\t\t\t\t\t\t\t\t   title=\"TAC 2009 Entity Linking\" data-groupID=\"24-3\"><img\r\n\t\t\t\t\t\t\t\t\t\t\talt=\"TAC 2009 Entity Linking\"\r\n\t\t\t\t\t\t\t\t\t\t\tid=\"wd-cl-img23\"\r\n                                            data-title=\" 20093-blank-database-symbol1\"\r\n\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/uploads\/2018\/02\/20093-blank-database-symbol1.png\"><\/a>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"thumbs-block\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<ul class=\"thumbs-list_3\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<div class=\"right-block\">\r\n\t\t\t\t\t\t\t\t\t\t<div class=\"title-block_3\">\r\n\t\t\t\t\t\t<h3 class=\"name\" >TAC 2009 Entity Linking<\/h3><\/div>\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"description-block_3\">\r\n\t\t\t\t\t\t\t\t<p>A collection of manually linked training examples to supplement those provided in the TAC 2009 KBP task. These are described in my Coling 2010 paper on entity linking. If you use this data, please cite:<br>\r\nMark Dredze, Paul McNamee, Delip Rao, Adam Gerber, Tim Finin. Entity Disambiguation for Knowledge Base Population. Conference on Computational Linguistics (Coling), 2010.<\/p><\/div>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"button-block\">\r\n\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cs.jhu.edu\/~mdredze\/datasets\/coling_2010_entity_linking_training_data.txt\" >View More<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\r\n\t\t\t\r\n\t<\/div>\r\n<\/section><style>\r\n.portelement_3 .play-icon.youtube-icon  {\r\n    background: url(https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/plugins\/portfolio-gallery\/assets\/images\/admin_images\/play.youtube.png) center center no-repeat;\r\n    background-size: 30% 30%;\r\n}\r\n.portelement_3 .play-icon.vimeo-icon  {\r\n    background: url(https:\/\/www.cs.jhu.edu\/~mdredze\/wp-content\/plugins\/portfolio-gallery\/assets\/images\/admin_images\/play.vimeo.png) center center no-repeat;\r\n    background-size: 30% 30%;\r\n}\r\n.portelement_3 .play-icon {\r\n    position: absolute;\r\n    top: 0px;\r\n    left: 0px;\r\n    width: 100%;\r\n    height: 100%;\r\n}\r\n.add-H-relative {\r\n    position: relative;\r\n}\r\n.add-H-block {\r\n    display: block;\r\n    border: none !important;\r\n    box-shadow: none;\r\n\r\n}\r\n\/***<\/add>***\/\r\n.portelement_3 {\r\n    position: relative;\r\n    width: calc(96% - 2px);\r\n    margin:5px 0px 5px 0px;\r\n    padding:2%;\r\n    clear:both;\r\n    overflow: hidden;\r\n    border:1px solid #dedede;\r\n    background:#f9f9f9;\r\n}\r\n\r\n.portelement_3 div.left-block_3 {\r\n    padding-right: 10px;\r\n    display: inline-block;\r\n    float: left;\r\n}\r\n\r\n.portelement_3 div.left-block_3 .main-image-block_3 {\r\n    clear:both;\r\n    width:240px;\r\n}\r\n\r\n.portelement_3 div.left-block_3 .main-image-block_3 img {\r\n    margin:0px !important;\r\n    padding:0px !important;\r\n    width:240px !important;\r\n    height:auto;\r\n}\r\n\r\n.portelement_3 div.left-block_3 .thumbs-block {\r\n    position:relative;\r\n    margin-top:10px;\r\n    display: 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Email me if you are looking for something you don&#8217;t see below.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-json\/wp\/v2\/pages\/58"}],"collection":[{"href":"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-json\/wp\/v2\/comments?post=58"}],"version-history":[{"count":5,"href":"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-json\/wp\/v2\/pages\/58\/revisions"}],"predecessor-version":[{"id":204,"href":"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-json\/wp\/v2\/pages\/58\/revisions\/204"}],"wp:attachment":[{"href":"https:\/\/www.cs.jhu.edu\/~mdredze\/wp-json\/wp\/v2\/media?parent=58"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}