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EMNLP 2008: all accepted papers

114 papers · page 1 of 2 · the most cited first · ← EMNLP 2008

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  1. A Discriminative Candidate Generator for String TransformationsNaoaki Okazaki, Yoshimasa Tsuruoka, Sophia Ananiadou et al.
  2. A Generative Model for Parsing Natural Language to Meaning RepresentationsWei Lu, Hwee Tou Ng, Wee Sun Lee et al.our summary
  3. A Phrase-Based Alignment Model for Natural Language InferenceBill MacCartney, Michel Galley, Christopher D. Manning
  4. A Simple and Effective Hierarchical Phrase Reordering ModelMichel Galley, Christopher D. Manningour summary
  5. Arabic Named Entity Recognition using Optimized Feature SetsYassine Benajiba, Mona Diab, Paolo Rosso
  6. Automatic Prediction of Parser AccuracySujith Ravi, Kevin Knight, Radu Soricut
  7. Automatic Set Expansion for List Question AnsweringRichard C. Wang, Nico Schlaefer, William W. Cohen et al.
  8. Automatic induction of FrameNet lexical unitsMarco Pennacchiotti, Diego De Cao, Roberto Basili et al.our summary
  9. Bayesian Unsupervised Topic SegmentationJacob Eisenstein, Regina Barzilayour summary
  10. Better Binarization for the CKY ParsingXinying Song, Shilin Ding, Chin-Yew Lin
  11. Computing Word-Pair AntonymySaif Mohammad, Bonnie Dorr, Graeme Hirst
  12. Dependency Parsing by Belief PropagationDavid Smith, Jason Eisnerour summary
  13. Dependency-based Semantic Role Labeling of PropBankRichard Johansson, Pierre Nuguesour summary
  14. Forest-based Translation Rule ExtractionHaitao Mi, Liang Huangour summary
  15. HTM: A Topic Model for HypertextsCongkai Sun, Bin Gao, Zhenfu Cao et al.
  16. HotSpots: Visualizing Edits to a TextSrinivas Bangalore, David Smith
  17. Improving Interactive Machine Translation via Mouse ActionsGermán Sanchis-Trilles, Daniel Ortiz-Martínez, Jorge Civera et al.
  18. Language and Translation Model Adaptation using Comparable CorporaMatthew Snover, Bonnie Dorr, Richard Schwartz
  19. Lattice Minimum Bayes-Risk Decoding for Statistical Machine TranslationRoy Tromble, Shankar Kumar, Franz Och et al.our summary
  20. Lattice-based Minimum Error Rate Training for Statistical Machine TranslationWolfgang Macherey, Franz Och, Ignacio Thayer et al.our summary
  21. Learning the Scope of Negation in Biomedical TextsRoser Morante, Anthony Liekens, Walter Daelemans
  22. Learning to Predict Code-Switching PointsThamar Solorio, Yang Liuour summary
  23. Legal Docket Classification: Where Machine Learning StumblesRamesh Nallapati, Christopher D. Manning
  24. Multilingual Subjectivity Analysis Using Machine TranslationCarmen Banea, Rada Mihalcea, Janyce Wiebe et al.our summary
  25. Multimodal Subjectivity Analysis of Multiparty ConversationStephan Raaijmakers, Khiet Truong, Theresa Wilson
  26. One-Class Clustering in the Text DomainRon Bekkerman, Koby Crammer
  27. Online Word Games for Semantic Data CollectionDavid Vickrey, Aaron Bronzan, William Choi et al.
  28. Predicting Success in Machine TranslationAlexandra Birch, Miles Osborne, Philipp Koehn
  29. Question Classification using Head Words and their HypernymsZhiheng Huang, Marcus Thint, Zengchang Qin
  30. Regular Expression Learning for Information ExtractionYunyao Li, Rajasekar Krishnamurthy, Sriram Raghavan et al.
  31. Sampling Alignment Structure under a Bayesian Translation ModelJohn DeNero, Alexandre Bouchard-Côté, Dan Klein
  32. Scaling Textual Inference to the WebStefan Schoenmackers, Oren Etzioni, Daniel Weld
  33. Seeded Discovery of Base Relations in Large CorporaNicholas Andrews, Naren Ramakrishnan
  34. Specialized Models and Ranking for Coreference ResolutionPascal Denis, Jason Baldridgeour summary
  35. Stacking Dependency ParsersAndré F. T. Martins, Dipanjan Das, Noah A. Smith et al.
  36. Studying the History of Ideas Using Topic ModelsDavid Hall, Daniel Jurafsky, Christopher D. Manning
  37. Summarizing Spoken and Written ConversationsGabriel Murray, Giuseppe Carenini

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