EMNLP 2008: Honolulu, Hawaii, USA

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing

• Front Matter.
  
• Jeremy Jancsary, Johannes Matiasek, Harald Trost:
  Revealing the Structure of Medical Dictations with Conditional Random Fields. 1-10
  
• Alan Ritter, Stephen Soderland, Doug Downey, Oren Etzioni:
  It's a Contradiction - no, it's not: A Case Study using Functional Relations. 11-20
  
• Yunyao Li, Rajasekar Krishnamurthy, Sriram Raghavan, Shivakumar Vaithyanathan, H. V. Jagadish:
  Regular Expression Learning for Information Extraction. 21-30
  
• Omar Zaidan, Jason Eisner:
  Modeling Annotators: A Generative Approach to Learning from Annotator Rationales. 31-40
  
• Ron Bekkerman, Koby Crammer:
  One-Class Clustering in the Text Domain. 41-50
  
• Ben Sandbank:
  Refining Generative Language Models using Discriminative Learning. 51-58
  
• Shane Bergsma, Dekang Lin, Randy Goebel:
  Discriminative Learning of Selectional Preference from Unlabeled Text. 59-68
  
• Richard Johansson, Pierre Nugues:
  Dependency-based Semantic Role Labeling of PropBank. 69-78
  
• Stefan Schoenmackers, Oren Etzioni, Daniel S. Weld:
  Scaling Textual Inference to the Web. 79-88
  
• Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin:
  Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation. 89-97
  
• Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguyen, Robert Moore:
  Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems. 98-107
  
• Slav Petrov, Aria Haghighi, Dan Klein:
  Coarse-to-Fine Syntactic Machine Translation using Language Projections. 108-116
  
• Jun Zhao, Kang Liu, Gen Wang:
  Adding Redundant Features for CRFs-based Sentence Sentiment Classification. 117-126
  
• Carmen Banea, Rada Mihalcea, Janyce Wiebe, Samer Hassan:
  Multilingual Subjectivity Analysis Using Machine Translation. 127-135
  
• Kevin Hsin-Yih Lin, Hsin-Hsi Chen:
  Ranking Reader Emotions Using Pairwise Loss Minimization and Emotional Distribution Regression. 136-144
  
• David A. Smith, Jason Eisner:
  Dependency Parsing by Belief Propagation. 145-156
  
• André F. T. Martins, Dipanjan Das, Noah A. Smith, Eric P. Xing:
  Stacking Dependency Parsers. 157-166
  
• Xinying Song, Shilin Ding, Chin-Yew Lin:
  Better Binarization for the CKY Parsing. 167-176
  
• Katja Filippova, Michael Strube:
  Sentence Fusion via Dependency Graph Compression. 177-185
  
• Emily Pitler, Ani Nenkova:
  Revisiting Readability: A Unified Framework for Predicting Text Quality. 186-195
  
• Chris Callison-Burch:
  Syntactic Constraints on Paraphrases Extracted from Parallel Corpora. 196-205
  
• Haitao Mi, Liang Huang:
  Forest-based Translation Rule Extraction. 206-214
  
• Phil Blunsom, Miles Osborne:
  Probabilistic Inference for Machine Translation. 215-223
  
• David Chiang, Yuval Marton, Philip Resnik:
  Online Large-Margin Training of Syntactic and Structural Translation Features. 224-233
  
• Roger Levy:
  A Noisy-Channel Model of Human Sentence Comprehension under Uncertain Input. 234-243
  
• Shaolin Qu, Joyce Yue Chai:
  Incorporating Temporal and Semantic Information with Eye Gaze for Automatic Word Acquisition in Multimodal Conversational Systems. 244-253
  
• Rion Snow, Brendan O'Connor, Daniel Jurafsky, Andrew Y. Ng:
  Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks. 254-263
  
• Srinivas Bangalore, David Smith:
  HotSpots: Visualizing Edits to a Text. 264-273
  
• Alex Baron, Marjorie Freedman:
  Who is Who and What is What: Experiments in Cross-Document Co-Reference. 274-283
  
• Yassine Benajiba, Mona T. Diab, Paolo Rosso:
  Arabic Named Entity Recognition using Optimized Feature Sets. 284-293
  
• Eric Bengtson, Dan Roth:
  Understanding the Value of Features for Coreference Resolution. 294-303
  
• Yllias Chali, Shafiq R. Joty:
  Selecting Sentences for Answering Complex Questions. 304-313
  
• John DeNero, Alexandre Bouchard-Côté, Dan Klein:
  Sampling Alignment Structure under a Bayesian Translation Model. 314-323
  
• Weiwei Ding, Baobao Chang:
  Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy. 324-333
  
• Jacob Eisenstein, Regina Barzilay:
  Bayesian Unsupervised Topic Segmentation. 334-343
  
• Jianfeng Gao, Mark Johnson:
  A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers. 344-352
  
• Dan Goldwasser, Dan Roth:
  Transliteration as Constrained Optimization. 353-362
  
• David Hall, Daniel Jurafsky, Christopher D. Manning:
  Studying the History of Ideas Using Topic Models. 363-371
  
• Sasa Hasan, Juri Ganitkevitch, Hermann Ney, Jesús Andrés-Ferrer:
  Triplet Lexicon Models for Statistical Machine Translation. 372-381
  
• Shinsuke Higuchi, Rafal Rzepka, Kenji Araki:
  A Casual Conversation System Using Modality and Word Associations Retrieved from the Web. 382-390
  
• Fei Huang, Ahmad Emami, Imed Zitouni:
  When Harry Met Harri: Cross-lingual Name Spelling Normalization. 391-399
  
• Rohit J. Kate:
  A Dependency-based Word Subsequence Kernel. 400-409
  
• Jung-Tae Lee, Sang-Bum Kim, Young-In Song, Hae-Chang Rim:
  Bridging Lexical Gaps between Queries and Questions on Large Online Q&A Collections with Compact Translation Models. 410-418
  
• Jimmy J. Lin:
  Scalable Language Processing Algorithms for the Masses: A Case Study in Computing Word Co-occurrence Matrices with MapReduce. 419-428
  
• Yugo Murawaki, Sadao Kurohashi:
  Online Acquisition of Japanese Unknown Morphemes using Morphological Constraints. 429-437
  
• Ramesh Nallapati, Christopher D. Manning:
  Legal Docket Classification: Where Machine Learning Stumbles. 438-446
  
• Naoaki Okazaki, Yoshimasa Tsuruoka, Sophia Ananiadou, Jun-ichi Tsujii:
  A Discriminative Candidate Generator for String Transformations. 447-456
  
• Marco Pennacchiotti, Diego De Cao, Roberto Basili, Danilo Croce, Michael Roth:
  Automatic induction of FrameNet lexical units. 457-465
  
• Stephan Raaijmakers, Khiet P. Truong, Theresa Wilson:
  Multimodal Subjectivity Analysis of Multiparty Conversation. 466-474
  
• Laura Rimell, Stephen Clark:
  Adapting a Lexicalized-Grammar Parser to Contrasting Domains. 475-484
  
• Germán Sanchis-Trilles, Daniel Ortiz-Martínez, Jorge Civera, Francisco Casacuberta, Enrique Vidal, Hieu Hoang:
  Improving Interactive Machine Translation via Mouse Actions. 485-494
  
• Libin Shen, Aravind K. Joshi:
  LTAG Dependency Parsing with Bidirectional Incremental Construction. 495-504
  
• Lei Shi, Ming Zhou:
  Improved Sentence Alignment on Parallel Web Pages Using a Stochastic Tree Alignment Model. 505-513
  
• Congkai Sun, Bin Gao, Zhenfu Cao, Hang Li:
  HTM: A Topic Model for Hypertexts. 514-522
  
• Hirotoshi Taira, Sanae Fujita, Masaaki Nagata:
  A Japanese Predicate Argument Structure Analysis using Decision Lists. 523-532
  
• David Vickrey, Aaron Bronzan, William Choi, Aman Kumar, Jason Turner-Maier, Arthur Wang, Daphne Koller:
  Online Word Games for Semantic Data Collection. 533-542
  
• Stephen Wan, Robert Dale, Mark Dras, Cécile Paris:
  Seed and Grow: Augmenting Statistically Generated Summary Sentences using Schematic Word Patterns. 543-552
  
• Xiaojun Wan:
  Using Bilingual Knowledge and Ensemble Techniques for Unsupervised Chinese Sentiment Analysis. 553-561
  
• Yue Zhang, Stephen Clark:
  A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing. 562-571
  
• Bing Zhao, Yaser Al-Onaizan:
  Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation. 572-581
  
• Partha Pratim Talukdar, Joseph Reisinger, Marius Pasca, Deepak Ravichandran, Rahul Bhagat, Fernando Pereira:
  Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks. 582-590
  
• Nicholas Andrews, Naren Ramakrishnan:
  Seeded Discovery of Base Relations in Large Corpora. 591-599
  
• Imed Zitouni, Radu Florian:
  Mention Detection Crossing the Language Barrier. 600-609
  
• David Chiang, Steve DeNeefe, Yee Seng Chan, Hwee Tou Ng:
  Decomposability of Translation Metrics for Improved Evaluation and Efficient Algorithms. 610-619
  
• Roy Tromble, Shankar Kumar, Franz Josef Och, Wolfgang Macherey:
  Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation. 620-629
  
• Markos Mylonakis, Khalil Sima'an:
  Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective. 630-639
  
• Vincent Ng:
  Unsupervised Models for Coreference Resolution. 640-649
  
• Hoifung Poon, Pedro Domingos:
  Joint Unsupervised Coreference Resolution with Markov Logic. 650-659
  
• Pascal Denis, Jason Baldridge:
  Specialized Models and Ranking for Coreference Resolution. 660-669
  
• Razvan C. Bunescu:
  Learning with Probabilistic Features for Improved Pipeline Models. 670-679
  
• Hal Daumé III:
  Cross-Task Knowledge-Constrained Self Training. 680-688
  
• Mark Dredze, Koby Crammer:
  Online Methods for Multi-Domain Learning and Adaptation. 689-697
  
• Nathanael Chambers, Daniel Jurafsky:
  Jointly Combining Implicit Constraints Improves Temporal Ordering. 698-706
  
• Nianwen Xue:
  Automatic Inference of the Temporal Location of Situations in Chinese Text. 707-714
  
• Roser Morante, Anthony M. L. Liekens, Walter Daelemans:
  Learning the Scope of Negation in Biomedical Texts. 715-724
  
• Wolfgang Macherey, Franz Joseph Och, Ignacio Thayer, Jakob Uszkoreit:
  Lattice-based Minimum Error Rate Training for Statistical Machine Translation. 725-734
  
• Arul Menezes, Christopher Quirk:
  Syntactic Models for Structural Word Insertion and Deletion during Translation. 735-744
  
• Alexandra Birch, Miles Osborne, Philipp Koehn:
  Predicting Success in Machine Translation. 745-754
  
• Xiaojun Wan:
  An Exploration of Document Impact on Graph-Based Multi-Document Summarization. 755-762
  
• Vivi Nastase:
  Topic-Driven Multi-Document Summarization with Encyclopedic Knowledge and Spreading Activation. 763-772
  
• Gabriel Murray, Giuseppe Carenini:
  Summarizing Spoken and Written Conversations. 773-782
  
• Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemoyer:
  A Generative Model for Parsing Natural Language to Meaning Representations. 783-792
  
• Yejin Choi, Claire Cardie:
  Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis. 793-801
  
• Bill MacCartney, Michel Galley, Christopher D. Manning:
  A Phrase-Based Alignment Model for Natural Language Inference. 802-811
  
• Sujith Ravi, Kevin Knight:
  Attacking Decipherment Problems Optimally with Low-Order N-gram Models. 812-819
  
• Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong Wu:
  Integrating Multi-level Linguistic Knowledge with a Unified Framework for Mandarin Speech Recognition. 820-828
  
• Bo-June (Paul) Hsu, James R. Glass:
  N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation. 829-838
  
• Gregor Leusch, Evgeny Matusov, Hermann Ney:
  Complexity of Finding the BLEU-optimal Hypothesis in a Confusion Network. 839-847
  
• Michel Galley, Christopher D. Manning:
  A Simple and Effective Hierarchical Phrase Reordering Model. 848-856
  
• Matthew G. Snover, Bonnie J. Dorr, Richard M. Schwartz:
  Language and Translation Model Adaptation using Comparable Corpora. 857-866
  
• Slav Petrov, Dan Klein:
  Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing. 867-876
  
• David Burkett, Dan Klein:
  Two Languages are Better than One (for Syntactic Parsing). 877-886
  
• Sujith Ravi, Kevin Knight, Radu Soricut:
  Automatic Prediction of Parser Accuracy. 887-896
  
• Katrin Erk, Sebastian Padó:
  A Structured Vector Space Model for Word Meaning in Context. 897-906
  
• Einat Minkov, William W. Cohen:
  Learning Graph Walk Based Similarity Measures for Parsed Text. 907-916
  
• Hinrich Schütze, Michael Walsh:
  A Graph-theoretic Model of Lexical Syntactic Acquisition. 917-926
  
• Zhiheng Huang, Marcus Thint, Zengchang Qin:
  Question Classification using Head Words and their Hypernyms. 927-936
  
• Baoli Li, Yandong Liu, Eugene Agichtein:
  CoCQA: Co-Training over Questions and Answers with an Application to Predicting Question Subjectivity Orientation. 937-946
  
• Richard C. Wang, Nico Schlaefer, William W. Cohen, Eric Nyberg:
  Automatic Set Expansion for List Question Answering. 947-954
  
• Ananlada Chotimongkol, Alexander I. Rudnicky:
  Acquiring Domain-Specific Dialog Information from Task-Oriented Human-Human Interaction through an Unsupervised Learning. 955-964
  
• Juan Huerta:
  Relative Rank Statistics for Dialog Analysis. 965-972
  
• Thamar Solorio, Yang Liu:
  Learning to Predict Code-Switching Points. 973-981
  
• Saif Mohammad, Bonnie J. Dorr, Graeme Hirst:
  Computing Word-Pair Antonymy. 982-991
  
• Chikara Hashimoto, Daisuke Kawahara:
  Construction of an Idiom Corpus and its Application to Idiom Identification based on WSD Incorporating Idiom-Specific Features. 992-1001
  
• Zhi Zhong, Hwee Tou Ng, Yee Seng Chan:
  Word Sense Disambiguation Using OntoNotes: An Empirical Study. 1002-1010
  
• Mamoru Komachi, Taku Kudo, Masashi Shimbo, Yuji Matsumoto:
  Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms. 1011-1020
  
• Cory Barr, Rosie Jones, Moira Regelson:
  The Linguistic Structure of English Web-Search Queries. 1021-1030
  
• Zhifei Li, David Yarowsky:
  Mining and Modeling Relations between Formal and Informal Chinese Phrases from Web Corpora. 1031-1040
  
• Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, Regina Barzilay:
  Unsupervised Multilingual Learning for POS Tagging. 1041-1050
  
• Thamar Solorio, Yang Liu:
  Part-of-Speech Tagging for English-Spanish Code-Switched Text. 1051-1060
  
• Yi-Xuan Liu, Bin Wang, Fan Ding, Sheng Xu:
  Information Retrieval Oriented Word Segmentation based on Character Association Strength Ranking. 1061-1069
  
• Burr Settles, Mark Craven:
  An Analysis of Active Learning Strategies for Sequence Labeling Tasks. 1070-1079
  
• Markus Dreyer, Jason Smith, Jason Eisner:
  Latent-Variable Modeling of String Transductions with Finite-State Methods. 1080-1089
  
• Amarnag Subramanya, Jeff Bilmes:
  Soft-Supervised Learning for Text Classification. 1090-1099