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Session 1: Question Answering |
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Question Answering via Bayesian Inference on Lexical Relations |
pp. 1-10 |
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Ganesh Ramakrishnan, Apurva Jadhav, Ashutosh Joshi, Soumen Chakrabarti and Pushpak Bhattacharyya |
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Session 2: Summarization |
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Using Thematic Information in Statistical Headline Generation |
pp. 11-20 |
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Stephen Wan, Mark Dras, Cécile Paris and Robert Dale |
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Combining Optimal Clustering and Hidden Markov Models for Extractive Summarization |
pp. 21-28 |
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Pascale Fung, Grace Ngai and Chi-Shun Cheung |
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Evaluation of Features for Sentence Extraction on Different Types of Corpora |
pp. 29-36 |
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Chikashi Nobata, Satoshi Sekine and Hitoshi Isahara |
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An Evolutionary Approach for Improving the Quality of Automatic Summaries |
pp. 37-45 |
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Constantin Orasan |
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Session 3: New Directions in Question Answering |
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HITIQA: An Interactive Question Answering System: A Preliminary Report |
pp. 46-53 |
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Sharon Small, Ting Liu, Nobuyuki Shimizu and Tomek Strzalkowski |
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Discovery of Manner Relations and Their Applicability to Question Answering |
pp. 54-60 |
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Roxana Girju, Manju Putcha and Dan Moldovan |
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Session 4: Machine Learning Approach to QA |
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Question Classification using HDAG Kernel |
pp. 61-68 |
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Jun Suzuki, Hirotoshi Taira, Yutaka Sasaki and Eisaku Maeda |
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Statistical QA - Classifier vs. Re-ranker: What's the difference? |
pp. 69-75 |
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Deepak Ravichandran, Eduard Hovy and Franz Josef Och |
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Automatic Detection of Causal Relations for Question Answering |
pp. 76-83 |
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Roxana Girju |
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Question Answering on a Case Insensitive Corpus |
pp. 84-93 |
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Wei Li, Rohini Srihari, Cheng Niu and Xiaoge Li |
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