Benjamin Van Durme


Contact

Department of Computer Sciencevandurme@cs.jhu.edu
Johns Hopkins Universityhttp://cs.jhu.edu/~vandurme
3400 N. Charles Street(585) 563-4314
Baltimore, MD 21218US Citizen

Education

PhD 2010 Computer Science and Linguistics University of Rochester
MS 2006 Computer Science University of Rochester
MS 2004 Language Technologies Carnegie Mellon University
BS/BA 2001 Computer Science/Cognitive Science University of Rochester

Professional Experience

Assistant Professor 01/16 -- present
Assistant Research Professor 01/11 -- 01/16
Assistant Research Scientist 01/10 -- 01/11
Department of Computer Science, Johns Hopkins University
Assistant Professor 01/16 -- present
Department of Cognitive Science, Johns Hopkins University
Chief Lead of Text Research 09/13 -- present
Research Scientist 01/10 -- 01/16
Human Language Technology Center of Excellence, Johns Hopkins University
Research Assistant 08/04 -- 12/09
Department of Computer Science, University of Rochester
Research Intern 05/07 -- 09/07
Research Intern 05/06 -- 08/06
Google
Research Assistant 08/02 -- 05/04
Language Technologies Institute, Carnegie Mellon University
Associate Member Engineering Staff 08/01 -- 08/02
Lockheed Martin, Advanced Technology Laboratories, AI Group
Intern 05/01 -- 08/01
BAE Systems, Information & Electronic Warfare Systems
Security Consultant 09/00 -- 12/00
SANS Institute
Research Intern 05/00 -- 08/00
National Institute of Standards & Technology

Publications

  1. Sheng Zhang, Rachel Rudinger, Kevin Duh, and Benjamin Van Durme. 2017. Ordinal Common-sense Inference. Transactions of the Association for Computational Linguistics, 5:379–395. [bibtex]
  2. Adam Teichert, Adam Poliak, Benjamin Van Durme, and Matthew Gormley. 2017. Semantic Proto-Role Labeling. In AAAI Conference on Artificial Intelligence (AAAI). [7 pages] [bibtex]
  3. Chandler May, Kevin Duh, Benjamin Van Durme, and Ashwin Lall. 2017. Streaming Word Embeddings with the Space-Saving Algorithm. [bibtex]
  4. Pushpendre Rastogi, Adam Poliak, and Benjamin Van Durme. 2017. Training Relation Embeddings under Logical Constraints. In E. Meij L. Dietz C. Xiong, editor, Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR). [7 pages] [bibtex]
  5. Pushpendre Rastogi and Benjamin Van Durme. 2017. Predicting Asymmetric Transitive Relations in Knowledge Bases. In E. Meij L. Dietz C. Xiong, editor, Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR). [6 pages] [bibtex]
  6. Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn Lawrie, Chandler May, Max Thomas, Julianne Chaloux, Annabelle Carrell, Tongfei Chen, Alex Comerford, Mark Dredze, et al. 2017. CADET: Computer Assisted Discovery Extraction and Translation. In The Proceedings of the 8th International Conference on Natural Language Processing (IJCNLP): System Demonstrations. [4 pages] [bibtex]
  7. Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 2017. Grammatical Error Correction with Neural Reinforcement Learning. In The Proceedings of the 8th International Conference on Natural Language Processing (IJCNLP). [bibtex]
  8. Sheng Zhang, Kevin Duh, and Benjamin Van Durme. 2017. Selective Decoding for Cross-Lingual Open Information Extraction. In The Proceedings of the 8th International Conference on Natural Language Processing (IJCNLP). [bibtex]
  9. Aaron Steven White, Pushpendre Rastogi, Kevin Duh, and Benjamin Van Durme. 2017. Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. In The Proceedings of the 8th International Conference on Natural Language Processing (IJCNLP). [bibtex]
  10. Rachel Rudinger, Kevin Duh, and Benjamin Van Durme. 2017. Skip-Prop: Representing Sentences with One Vector Per Proposition. In The Proceedings of the 12th International Conference on Computational Semantics (IWCS). [bibtex]
  11. Sheng Zhang, Rachel Rudinger, and Benjamin Van Durme. 2017. An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. In The Proceedings of the 12th International Conference on Computational Semantics (IWCS). [bibtex]
  12. Francis Ferraro, Adam Poliak, Ryan Cotterell, and Benjamin Van Durme. 2017. Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. In Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017). [bibtex]
  13. Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 2017. Error-repair Dependency Parsing for Ungrammatical Texts. In The Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL). [7 pages] [bibtex]
  14. Nicholas Andrews, Benjamin Van Durme, Mark Dredze, and Jason Eisner. 2017. Bayesian Modeling of Lexical Resources for Low-Resource Settings. In The Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL). [11 pages] [bibtex]
  15. Keisuke Sakaguchi, Kevin Duh, Matt Post, and Benjamin Van Durme. 2017. Robsut Wrod Reocginiton via semi-Character Recurrent Neural Network. In AAAI Conference on Artificial Intelligence (AAAI). [7 pages] [bibtex]
  16. Tongfei Chen and Benjamin Van Durme. 2017. Discriminative Information Retrieval for Question Answering Sentence Selection. In The 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL). [7 pages] [bibtex]
  17. Ryan Cotterell, Adam Poliak, Benjamin Van Durme, and Jason Eisner. 2017. Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. In The 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL). [7 pages] [bibtex]
  18. Sheng Zhang, Kevin Duh, and Benjamin Van Durme. 2017. MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. In The 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL). [7 pages] [bibtex]
  19. Adam Poliak, Pushpendre Rastogi, and Benjamin Van Durme. 2017. Efficient, Compositional, Order-sensitive n-gram Embeddings. In The 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL). [6 pages] [bibtex]
  20. Aaron Steven White, Kyle Rawlins, and Benjamin Van Durme. 2017. The Semantic Proto-Role Linking Model. In The 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL). [7 pages] [bibtex]
  21. Rachel Rudinger, Chandler May, and Benjamin Van Durme. 2017. Social Bias in Elicited Natural Language Inferences. In The 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL): Workshop on Ethics in NLP. [7 pages] [bibtex]
  22. Travis Wolfe, Mark Dredze, and Benjamin Van Durme. 2017. Pocket Knowledge Base Population. In The Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL). [7 pages] [bibtex]
  23. Chandler May, Ryan Cotterell, and Benjamin Van Durme. 2016. Analysis of Morphology in Topic Modeling. August. Preprint, arXiv:1608.03995. [bibtex]
  24. Rebecca Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, and Margaret Mitchell. 2016. Microsummarization of Online Reviews: An Experimental Study. In AAAI Conference on Artificial Intelligence (AAAI). [7 pages] [bibtex]
  25. Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, and Benjamin Van Durme. 2016. Universal Decompositional Semantics on Universal Dependencies. In Empirical Methods in Natural Language Processing (EMNLP). [11 pages] [bibtex]
  26. Svitlana Volkova, Ilia Chetviorkin, Dustin Arendt, and Benjamin Van Durme. 2016. Contrasting Public Opinion Dynamics and Emotional Response during Crisis. In International Conference on Social Informatics (SocInfo16). [17 pages] [bibtex]
  27. Tom Lippincott and Benjamin Van Durme. 2016. Fluency Detection on Communication Networks. In Empirical Methods in Natural Language Processing (EMNLP). [5 pages] [bibtex]
  28. Francis Ferraro and Benjamin Van Durme. 2016. A Unified Bayesian Model of Scripts, Frames and Language. In AAAI Conference on Artificial Intelligence (AAAI). [7 pages] [bibtex]
  29. Svitlana Volkova, Yoram Bachrach, and Benjamin Van Durme. 2016. Mining User Interests to Predict Perceived Psycho-Demographic Traits on Twitter. In IEEE Big Data Service. [8 pages] [bibtex]
  30. Travis Wolfe, Mark Dredze, James Mayfield, Paul McNamee, Craig Harman, Tim Finin, and Benjamin Van Durme. 2015. Interactive Knowledge Base Population. [bibtex]
  31. Chandler May, Francis Ferraro, Alan McCree, Jonathan Wintrode, Daniel Garcia-Romero, and Benjamin Van Durme. 2015. Topic Identification and Discovery on Text and Speech. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). [11 pages] [bibtex]
  32. Rachel Rudinger, Pushpendre Rastogi, Francis Ferraro, and Benjamin Van Durme. 2015. Script Induction as Language Modeling. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). [6 pages] [bibtex]
  33. Drew Reisinger, Rachel Rudinger, Francis Ferraro, Craig Harman, Kyle Rawlins, and Benjamin Van Durme. 2015. Semantic Proto-roles. In Transactions of the Association of Computational Linguistics. [14 pages] [bibtex]
  34. Ellie Pavlick, Johan Bos, Malvina Nissim, Charley Beller, Benjamin Van Durme, and Chris Callison-Burch. 2015. Adding Semantics to Data-Driven Paraphrasing. In The Annual Meeting of the Association for Computational Linguistics (ACL). [10 pages] [bibtex]
  35. Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, Chris Callison-Burch, Mark Dredze, and Benjamin Van Durme. 2015. FrameNet+: Fast Paraphrastic Tripling of FrameNet. In The Annual Meeting of the Association for Computational Linguistics (ACL). [5 pages] [bibtex]
  36. Ellie Pavlick, Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2015. Domain-Specific Paraphrase Extraction. In The Annual Meeting of the Association for Computational Linguistics (ACL). [5 pages] [bibtex]
  37. Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2015. PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification. In The Annual Meeting of the Association for Computational Linguistics (ACL). [5 pages] [bibtex]
  38. Keith Levin, Aren Jansen, and Benjamin Van Durme. 2015. Segmental Acoustic Indexing for Zero Resource Keyword Search. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). [5 pages] [bibtex]
  39. Pushpendre Rastogi, Benjamin Van Durme, and Raman Arora. 2015. Multiview LSA: Representation Learning via Generalized CCA. In The Annual Meeting of the North American Association of Computational Linguistics (NAACL). [11 pages] [bibtex]
  40. Travis Wolfe, Mark Dredze, and Benjamin Van Durme. 2015. Predicate Argument Alignment using a Global Coherence Model. In The Annual Meeting of the North American Association of Computational Linguistics (NAACL). [11 pages] [bibtex]
  41. Rachel Rudinger, Vera Demberg, Ashutosh Modi, Benjamin Van Durme, and Manfred Pinkal. 2015. Learning to predict script events from domain-specific text. In Joint Conference on Lexical and Computational Semantics (StarSem). [6 pages] [bibtex]
  42. Svitlana Volkova and Benjamin Van Durme. 2015. Online Bayesian Models for Personal Analytics in Social Media. In AAAI Conference on Artificial Intelligence (AAAI). [7 pages] [bibtex]
  43. Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, and Mark Dredze. 2015. A Concrete Chinese NLP Pipeline. In The Annual Meeting of the North American Association of Computational Linguistics (NAACL), Demonstration Track. [5 pages] [bibtex]
  44. Francis Ferraro, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, and Benjamin Van Durme. 2014. Concretely Annotated Corpora. In NIPS Workshop on Automated Knowledge Base Construction (AKBC). [7 pages] [bibtex]
  45. Adrian Benton, Jay Deyoung, Adam Teichert, Mark Dredze, Benjamin Van Durme, Stephen Mayhew, and Max Thomas. 2014. Faster (and Better) Entity Linking with Cascades. In NIPS Workshop on Automated Knowledge Base Construction (AKBC). [6 pages] [bibtex]
  46. Xuchen Yao and Benjamin Van Durme. 2014. Information Extraction over Structured Data: Question Answering with Freebase. In The Annual Meeting of the Association for Computational Linguistics (ACL). [11 pages] [bibtex]
  47. Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, and Mark Dredze. 2014. Low-Resource Semantic Role Labeling. In The Annual Meeting of the Association for Computational Linguistics (ACL). [11 pages] [bibtex]
  48. Svitlana Volkova, Glen Coppersmith, and Benjamin Van Durme. 2014. Inferring User Political Preferences from Streaming Communications. In The Annual Meeting of the Association for Computational Linguistics (ACL). [11 pages] [bibtex]
  49. Chandler May, Alex Clemmer, and Benjamin Van Durme. 2014. Particle Filter Rejuvenation and Latent Dirichlet Allocation. In The Annual Meeting of the Association for Computational Linguistics (ACL). [6 pages] [bibtex]
  50. Miles Osborne, Ashwin Lall, and Benjamin Van Durme. 2014. Exponential Reservoir Sampling for Streaming Language Models. In The Annual Meeting of the Association for Computational Linguistics (ACL). [6 pages] [bibtex]
  51. Alex Fine, Austin Frank, T. Florian Jaeger, and Benjamin Van Durme. 2014. Biases in Predicting the Human Language Model. In The Annual Meeting of the Association for Computational Linguistics (ACL). [6 pages] [bibtex]
  52. Charley Beller, Rebecca Knowles, Craig Harman, Shane Bergsma, Margaret Mitchell, and Benjamin Van Durme. 2014. I’m a Belieber: Social Roles via Self-identification and Conceptual Attributes. In The Annual Meeting of the Association for Computational Linguistics (ACL). [6 pages] [bibtex]
  53. Xuchen Yao, Jonathan Berant, and Benjamin Van Durme. 2014. Freebase QA: Information Extraction or Semantic Parsing? In The Annual Meeting of the Association for Computational Linguistics (ACL) Workshop: Semantic Parsing. [5 pages] [bibtex]
  54. Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 2014. Efficient Elicitation of Annotations for Human Evaluation of Machine Translation. In The Annual Meeting of the Association for Computational Linguistics (ACL) Workshop: WMT. [11 pages] [bibtex]
  55. Jacqueline Aguilar, Charley Beller, Paul McNamee, Benjamin Van Durme, Stephanie Strassel, Zhiyi Song, and Joe Ellis. 2014. A Comparison of the Events and Relations Across ACE, ERE, TAC-KBP, and FrameNet Annotation Standards. In The Annual Meeting of the Association for Computational Linguistics (ACL) Workshop: EVENTS. [9 pages] [bibtex]
  56. Rachel Rudinger and Benjamin Van Durme. 2014. Is the Stanford Dependency Representation Semantic? In The Annual Meeting of the Association for Computational Linguistics (ACL) Workshop: EVENTS. [5 pages] [bibtex]
  57. Pushpendre Rastogi and Benjamin Van Durme. 2014. Augmenting FrameNet Via PPDB. In The Annual Meeting of the Association for Computational Linguistics (ACL) Workshop: EVENTS. [5 pages] [bibtex]
  58. Jennifer Drexler, Pushpendre Rastogi, Jacqueline Aguilar, Benjamin Van Durme, and Matt Post. 2014. A Wikipedia-based Corpus for Contextualized Machine Translation. In The International Conference on Language Resources and Evaluation (LREC). [4 pages] [bibtex]
  59. Charley Beller, Craig Harman, and Benjamin Van Durme. 2014. Predicting Fine-grained Social Roles with Selectional Preferences. In The Annual Meeting of the Association for Computational Linguistics (ACL) Workshop: LACSS. [6 pages] [bibtex]
  60. Francis Ferraro, Benjamin Van Durme, and Yanif Ahmad. 2013. Evaluating Progress in Probabilistic Programming through Topic Models. In NIPS Workshop on Topic Models: Computation, Application, and Evaluation. [5 pages] [bibtex]
  61. Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, and Peter Clark. 2013. Semi-Markov Phrase-based Monolingual Alignment. In Empirical Methods in Natural Language Processing (EMNLP). [11 pages] [bibtex]
  62. Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, and Benjamin Van Durme. 2013. Open Domain Targeted Sentiment. In Empirical Methods in Natural Language Processing (EMNLP). [12 pages] [bibtex]
  63. Jonathan Gordon and Benjamin Van Durme. 2013. Reporting Bias and Knowledge Extraction. In Automated Knowledge Base Construction (AKBC) 2013: The 3rd Workshop on Knowledge Extraction, at CIKM. [5 pages] [bibtex]
  64. Shane Bergsma and Benjamin Van Durme. 2013. Using Conceptual Class Attributes to Characterize Social Media Users. In The Annual Meeting of the Association for Computational Linguistics (ACL). [11 pages] [bibtex]
  65. Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, and Peter Clark. 2013. A Lightweight and High Performance Monolingual Word Aligner. In The Annual Meeting of the Association for Computational Linguistics (ACL). [6 pages] [bibtex]
  66. Xuchen Yao, Benjamin Van Durme, and Peter Clark. 2013. Automatic Coupling of Answer Extraction and Information Retrieval. In The Annual Meeting of the Association for Computational Linguistics (ACL). [7 pages] [bibtex]
  67. Travis Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, and Xuchen Yao. 2013. PARMA: A Predicate Argument Aligner. In The Annual Meeting of the Association for Computational Linguistics (ACL). [6 pages] [bibtex]
  68. David Etter, Francis Ferraro, Ryan Cotterell, Olivia Buzek, and Benjamin Van Durme. 2013. Nerit: Named Entity Recognition for Informal Text. Technical Report 11, Human Language Technology Center of Excellence, Johns Hopkins University, Baltimore, Maryland. [bibtex]
  69. Xuchen Yao, Benjamin Van Durme, Peter Clark, and Chris Callison-Burch. 2013. Answer Extraction as Sequence Tagging with Tree Edit Distance. In The Annual Meeting of the North American Association of Computational Linguistics (NAACL). [10 pages] [bibtex]
  70. Shane Bergsma, Mark Dredze, Benjamin Van Durme, Theresa Wilson, and David Yarowsky. 2013. Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter. In The Annual Meeting of the North American Association of Computational Linguistics (NAACL). [10 pages] [bibtex]
  71. Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2013. PPDB: The Paraphrase Database. In The Annual Meeting of the North American Association of Computational Linguistics (NAACL). [7 pages] [bibtex]
  72. Courtney Napoles, Matthew R. Gormley, and Benjamin Van Durme. 2012. Annotated Gigaword. In NAACL Workshop: AKBC-WEKEX. [6 pages] [bibtex]
  73. Benjamin Van Durme. 2012. Streaming Analysis of Discourse Participants. In Empirical Methods in Natural Language Processing (EMNLP). [11 pages] [bibtex]
  74. Aren Jansen and Benjamin Van Durme. 2012. Indexing Raw Acoustic Features for Scalable Zero Resource Search. In Annual Conference of the International Speech Communication Association (InterSpeech). [4 pages] [bibtex]
  75. Aren Jansen, Benjamin Van Durme, and Pascal Clark. 2012. The JHU-HLTCOE Spoken Web Search System for MediaEval 2012. In MediaEval Workshop. [2 pages] [bibtex]
  76. Vinodkumar Prabhakaran, Michael Bloodgood, Mona Diab, Bonnie Dorr, Lori Levin, Christine D. Piatko, Owen Rambow, and Benjamin Van Durme. 2012. Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing. In The Annual Meeting of the Association for Computational Linguistics (ACL), Workshop: ExProM. [8 pages] [bibtex]
  77. Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, and Jason Eisner. 2012. Shared Components Topic Models. In The Annual Meeting of the North American Association of Computational Linguistics (NAACL). [10 pages] [bibtex]
  78. Francis Ferraro, Benjamin Van Durme, and Matt Post. 2012. Toward Tree Substitution Grammars with Latent Annotations. In The Annual Meeting of the North American Association of Computational Linguistics (NAACL), Workshop: Inducing Linguistic Structure. [8 pages] [bibtex]
  79. Xuchen Yao, Benjamin Van Durme, and Chris Callison-Burch. 2012. Expectations of Word Sense in Parallel Corpora. In The Annual Meeting of the North American Association of Computational Linguistics (NAACL). [5 pages] [bibtex]
  80. Brian Kjersten and Benjamin Van Durme. 2012. Space Efficiencies in Discourse Modeling via Conditional Random Sampling. In The Annual Meeting of the North American Association of Computational Linguistics (NAACL). [5 pages] [bibtex]
  81. Frank Ferraro, Matthew Post, and Benjamin Van Durme. 2012. Judging Grammaticality with Count-Induced Tree Substitution Grammars. In The Annual Meeting of the North American Association of Computational Linguistics (NAACL) Workshop: BEA. [6 pages] [bibtex]
  82. Benjamin Van Durme. 2012. Jerboa: A Toolkit for Randomized and Streaming Algorithms. Technical Report 7, Human Language Technology Center of Excellence, Johns Hopkins University, Baltimore, Maryland. [bibtex]
  83. Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2012. Monolingual Distributional Similarity for Text-to-Text Generation. In Joint Conference on Lexical and Computational Semantics (STARSEM). [9 pages] [bibtex]
  84. Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, and Jason Eisner. 2011. Shared Components Topic Models with Application to Selectional Preference. In NIPS Workshop: Learning Semantics. [3 pages] [bibtex]
  85. Aren Jansen and Benjamin Van Durme. 2011. Efficient Spoken Term Discovery using Randomized Algorithms. In Automatic Speech Recognition and Understanding Workshop (ASRU). [6 pages] [bibtex]
  86. Juri Ganitkevitch, Chris Callison-Burch, Courtney Napoles, and Benjamin Van Durme. 2011. Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation. In Empirical Methods in Natural Language Processing (EMNLP). [12 pages] [bibtex]
  87. Shane Bergsma and Benjamin Van Durme. 2011. Learning Bilingual Lexicons using the Visual Similarity of Labeled Web Images. In International Joint Conference on Artificial Intelligence (IJCAI-11). [6 pages] [bibtex]
  88. Xuchen Yao and Benjamin Van Durme. 2011. Nonparametric Bayesian Word Sense Induction. In The Annual Meeting of the Association of Computational Linguistics (ACL), Workshop: Textgraphs. [5 pages] [bibtex]
  89. Courtney Napoles, Chris Callison-Burch, Juri Ganitkevitch, and Benjamin Van Durme. 2011. Paraphrastic Sentence Compression with a Character-based Metric: Tightening without Deletion. In The Annual Meeting of the Association of Computational Linguistics (ACL), Workshop on Monolingual Text-To-Text Generation. [7 pages] [bibtex]
  90. Courtney Napoles, Chris Callison-Burch, and Benjamin Van Durme. 2011. Evaluating sentence compression: Pitfalls and suggested remedies. In The Annual Meeting of the Association of Computational Linguistics (ACL), Workshop on Monolingual Text-To-Text Generation. [5 pages] [bibtex]
  91. Byung Gyu Ahn, Benjamin Van Durme, and Chris Callison-Burch. 2011. WikiTopics: What is popular on Wikipedia and why. In The Annual Meeting of the Association for Computational Linguistics (ACL), Workshop on Summarization. [5 pages] [bibtex]
  92. Benjamin Van Durme and Ashwin Lall. 2011. Efficient Online Locality Sensitive Hashing via Reservoir Counting. In The Annual Meeting of the Association for Computational Linguistics (ACL). [5 pages] [bibtex]
  93. Tsz Ping Chan, Chris Callison-Burch, and Benjamin Van Durme. 2011. Reranking Bilingually Extracted Paraphrases Using Monolingual Distributional Similarity. In Empirical Methods in Natural Language Processing (EMNLP) Workshop: GEMS. [9 pages] [bibtex]
  94. Lenhart K. Schubert, Benjamin Van Durme, and Marzieh Bazrafshan. 2010. Entailment Inference in a Natural Logic-like General Reasoner. In AAAI Fall Symposium on Commonsense Knowledge (CSK10). [6 pages] [bibtex]
  95. Benjamin Van Durme and Ashwin Lall. 2010. Online Generation of Locality Sensitive Hash Signatures. In The Annual Meeting of the Association for Computational Linguistics (ACL). [5 pages] [bibtex]
  96. Benjamin Van Durme. 2010. Extracting Implicit Knowledge from Text. PhD thesis, University of Rochester, Rochester, NY 14627. [bibtex]
  97. Benjamin Van Durme and Ashwin Lall. 2009. Probabilistic Counting with Randomized Storage. In International Joint Conference on Artificial Intelligence (IJCAI-09). [6 pages] [bibtex]
  98. Benjamin Van Durme and Ashwin Lall. 2009. Streaming Pointwise Mutual Information. In Neural Information Processing Systems Conference (NIPS). [9 pages] [bibtex]
  99. Benjamin Van Durme and Daniel Gildea. 2009. Topic Models for Corpus-centric Knowledge Generalization. Technical Report 946, Department of Computer Science, University of Rochester, Rochester, NY 14627. [bibtex]
  100. Ting Qian Benjamin Van Durme and Lenhart K. Schubert. 2009. Building a Semantic Lexicon of English Nouns via Bootstrapping. In North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT), Student Research Workshop. [6 pages] [bibtex]
  101. Lenhart K. Schubert and Benjamin Van Durme. 2009. Open Extraction of General Knowledge through Compositional Semantics. In NSF Symposium on Semantic Knowledge Discovery, Organization and Use. [1 pages] [bibtex]
  102. Benjamin Van Durme, Austin Frank, and T. Florian Jaeger. 2009. Comparing Sources of Corpus Frequency Information. In The 22nd Annual Meeting of the CUNY Conference on Human Sentence Processing (CUNY). [1 pages] [bibtex]
  103. Benjamin Van Durme, Phil Michalak, and Lenhart K. Schubert. 2009. Deriving Generalized Knowledge from Corpora using WordNet Abstraction. In The 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL). [9 pages] [bibtex]
  104. Marius Pasca and Benjamin Van Durme. 2008. Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs. In The 46th Annual Meeting of the Association of Computational Linguistics: Human Language Technologies (ACL-08: HLT). [9 pages] [bibtex]
  105. Benjamin Van Durme, Ting Qian, and Lenhart K. Schubert. 2008. Class-Driven Attribute Extraction. In The 22nd International Conference on Computational Linguistics (COLING). [8 pages] [bibtex]
  106. Benjamin Van Durme and Marius Pasca. 2008. Finding Cars, Goddesses and Enzymes: Parametrizable Acquisition of Labeled Instances for Open-Domain Information Extraction. In Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08). [6 pages] [bibtex]
  107. Benjamin Van Durme. 2008. Notes on the Acquisition of Conditional Knowledge. Technical Report 937, Department of Computer Science, University of Rochester, Rochester, NY 14627. [bibtex]
  108. Dekang Lin, Shaojun Zhao, Benjamin Van Durme, and Marius Pasca. 2008. Mining Parenthetical Translations from the Web by Word Alignment. In The 46th Annual Meeting of the Association of Computational Linguistics: Human Language Technologies (ACL-08: HLT). [9 pages] [bibtex]
  109. Benjamin Van Durme and Lenhart K. Schubert. 2008. Open Knowledge Extraction through Compositional Language Processing. In Semantics in Text Processing. [16 pages] [bibtex]
  110. Marius Pasca, Benjamin Van Durme, and Nikesh Garera. 2007. The Role of Documents vs. Queries in Extracting Class Attributes from Text. In ACM Sixteenth Conference on Information and Knowledge Management (CIKM). [9 pages] [bibtex]
  111. Marius Pasca and Benjamin Van Durme. 2007. What You Seek is What You Get: Extraction of Class Attributes from Query Logs. In International Joint Conference on Artificial Intelligence (IJCAI-07). [6 pages] [bibtex]
  112. Anna Kupsc, Teruko Mitamura, Benjamin Van Durme, and Eric Nyberg. 2004. Pronominal Anaphora Resolution for Unrestricted Text. In The International Conference on Language Resources and Evaluation (LREC-04). [4 pages] [bibtex]
  113. Benjamin Van Durme, Yifen Huang, Anna Kupsc, and Eric Nyberg. 2003. Towards Light Semantic Processing for Question Answering. In Human Language Technology and North American Chapter of Association of Computational Linguistics (HLT/NAACL-03), Workshop on Text Meaning. [8 pages] [bibtex]
  114. E. Nyberg, T. Mitamura, J. Callan, J. Carbonell, R. Frederking, K. Collins-Thompson, L. Hiyakumoto, Y. Huang, C. Huttenhower, S. Judy, J. Ko, A. Kupsc, L. Lita, V. Pedro, D. Svoboda, and B. Van Durme. 2003. The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategy Approach with Dynamic Planning. In 12th Text REtrieval Conference (TREC-12). [9 pages] [bibtex]

Graduate Student Advisees

Greg Vorsanger PhD (w/ Vladimir Braverman primary) 2016 -- 2016
Keith Levin PhD (w/ Carey Priebe primary, Vince Lyzinski secondary) 2012 -- 2016
Francis Ferraro PhD 2011 -- 2017
Travis Wolfe PhD (w/ Mark Dredze primary) 2011 -- 2017
Xuchen Yao PhD (w/ Chris Callison-Burch secondary) 2010 -- 2014
Svitlana Volkova PhD 2010 -- 2015
Tsz Ping (Charlie) Chan MS (w/ Chris Callison-Burch) 2010 -- 2011
Feixuan (Felicity) Wang MS anticipated 2017 -- present
Seth Ebner PhD anticipated 2017 -- present
Annabelle Carrell MS anticipated 2017 -- present
Ryan Culkin MS anticipated 2017 -- present
Hongyuan Mei PhD anticipated (w/ Jason Eisner primary) 2016 -- present
Adam Poliak PhD anticipated 2015 -- present
Sheng Zhang PhD anticipated (w/ Kevin Duh secondary) 2015 -- present
Tongfei Chen PhD anticipated 2014 -- present
Rachel Rudinger PhD anticipated 2013 -- present
Keisuke Sakaguchi PhD anticipated (w/ Matt Post secondary) 2013 -- present
Pushpendre Rastogi PhD anticipated 2013 -- present
Chandler May PhD anticipated 2013 -- present
Adam Teichert PhD anticipated 2010 -- present
Courtney Napoles PhD anticipated (w/ Chris Callison-Burch primary) 2009 -- present

Postdoctoral Fellows Supervised

Nicholas Andrews 2016 -- present
Aaron Steven White (w/ Kyle Rawlins) 2015 -- 2017
Matthew Gormley 2015 -- 2016
Charley Beller 2013 -- 2014
Margaret Mitchell 2012 -- 2013

Teaching

JHU 601.464/664 Artificial Intelligence 2018 Spring
JHU 601.464/664 Artificial Intelligence 2018 Fall (tentative)
JHU 600.365 Knowledge Discovery in Text 2016 Fall
JHU 600.365 Knowledge Discovery in Text 2017 Fall
JHU 600.625 Event Semantics in Theory and Practice 2017 Spring
JHU 600.625 Event Semantics in Theory and Practice 2013 Fall
JHU 600.766 Seminar in Computational Semantics 2010-present

Local Service

Member of CS PhD Computer Science Admissions 2016 -- present
Chair of CLSP PhD Computer Science Admissions 2010 -- present
Member of JHU HLTCOE Hiring Committee 2011 -- present

Professional Activities

Event Organization (co-lead) Tutorial on Semantic Roles at EMNLP 2017 (1 day conference tutorial)
Event Organization (lead) HLTCOE SCALE Workshop 2016 (9 weeks, 20 researchers)
Event Organization (co-lead) Tutorial on Social Media Predictive Analytics at NAACL 2015
Event Organization (co-lead) NSF PIRE, JHU Fred Jelinek Memorial Workshop, 2014 (4 weeks, 6 researchers on team)
Event Organization (co-lead) Workshop on Social Dynamics and Personal Attributes in Social Media at ACL 2014
Event Organization (lead) HLTCOE SCALE Workshop 2013 (9 weeks, 35 researchers)
Event Organization (co-lead) HLTCOE SCALE Workshop 2012 (10 weeks, 40 researchers)
Event Organization (co-lead) HLTCOE Workshop on Author Attribute Identification 2011
Event Organization (co-lead) AAAI Fall Symposium on Commonsense Knowledge 2010
Event Organization (lead) Volunteer coordination, NAACL 2007
Program Committee NAACL, ACL, IJCAI, IWCS, AAAI, EMNLP, WWW, StarSEM, EACL
Journal Reviewer Transactions of the ACL, AI Journal, Journal of Natural Language Engineering

Invited Talks

Universal Decompositional Semantics Georgetown University 2017
What can we learn from Social Media posts? National Academy of Sciences 2017
Predicting Identity from Content Aberdeen Proving Grounds, MD 2017
Knowledge, Language and Answering Questions Amazon, Berlin, Germany 2017
Knowledge, Language and Answering Questions Technical University of Darmstadt, Germany 2017
(CADET) Computer Assisted Discovery, Extraction and Translation Technical University of Darmstadt, Germany 2017
Common Sense and Language Automated Knowledge Base Creation (AKBC), at NAACL 2016
Common Sense and Language Microsoft Faculty Summit 2015
Question Answering Microsoft Faculty Summit 2015
Common Sense and Language Charles University, Workshop 2014
Textual Choreography U. of Washington, Dept. of CS & Microsoft Research 2014
Textual Choreography Allen Institute of Artificial Intelligence 2014
Textual Choreography U. of Rochester, Department of Computer Science 2014
Reconsidering Semantic Roles The 38th Penn Linguistics Conference 2014
Report Linking DARPA 2013
Simple Randomized Algorithms Carnegie Mellon University, Machine Learning Seminar 2012
Streaming Classification Applied Physics Laboratory, Workshop on Architectures for Uncertainty in Knowledge (AUKS), JHU/APL 2012
Streaming and Randomized Algorithms Advanced Physics Laboratory, Workshop on Streams 2011