40. ACL 2002: Philadelphia, PA, USA

• Jason Eisner:
  Parameter Estimation for Probabilistic Finite-State Transducers. 1-8
  
• Joshua Goodman:
  Sequential Conditional Generalized Iterative Scaling. 9-16
  
• Alexander Koller, Kristina Striegnitz:
  Generation as Dependency Parsing. 17-24
  
• Michael Gamon, Eric K. Ringger, Simon Corston-Oliver, Robert C. Moore:
  Machine-learned contexts for linguistic operations in German sentence realization. 25-32
  
• Dan I. Moldovan, Marius Pasca, Sanda M. Harabagiu, Mihai Surdeanu:
  Performance Issues and Error Analysis in an Open-Domain Question Answering System. 33-40
  
• Deepak Ravichandran, Eduard H. Hovy:
  Learning surface text patterns for a Question Answering System. 41-47
  
• Jonas Kuhn:
  OT Syntax - Decidability of Generation-based Optimization. 48-55
  
• Jason Eisner:
  Phonological Comprehension and the Compilation of Optimality Theory. 56-63
  
• Gerald Penn:
  Generalized Encoding of Description Spaces and its Application to Typed Feature Structures. 64-71
  
• Michael Schiehlen:
  Ellipsis Resolution with Underspecified Scope. 72-79
  
• Donna K. Byron:
  Resolving Pronominal Reference to Abstract Entities. 80-87
  
• Charles B. Callaway, James C. Lester:
  Pronominalization in Generated Discourse and Dialogue. 88-95
  
• Claire Gardent:
  Generating Minimal Definite Descriptions. 96-103
  
• Vincent Ng, Claire Gardent:
  Improving Machine Learning Approaches to Coreference Resolution. 104-111
  
• Mark-Jan Nederhof, Giorgio Satta:
  Parsing non-recursive CFGs. 112-119
  
• Min Tang, Xiaoqiang Luo, Salim Roukos:
  Active Learning for Statistical Natural Language Parsing. 120-127
  
• Dan Klein, Christopher D. Manning:
  A Generative Constituent-Context Model for Improved Grammar Induction. 128-135
  
• Mark Johnson:
  A Simple Pattern-matching Algorithm for Recovering Empty Nodes and their Antecedents. 136-143
  
• Kristina Toutanova, Robert C. Moore:
  Pronunciation Modeling for Improved Spelling Correction. 144-151
  
• Paul Clough, Robert J. Gaizauskas, Scott S. L. Piao, Yorick Wilks:
  Measuring Text Reuse. 152-159
  
• Sergey V. Pakhomov:
  Semi-Supervised Maximum Entropy Based Approach to Acronym and Abbreviation Normalization in Medical Texts. 160-167
  
• Hamish Cunningham, Diana Maynard, Kalina Bontcheva, Valentin Tablan:
  A framework and graphical development environment for robust NLP tools and applications. 168-175
  
• Jianfeng Gao, Min Zhang:
  Improving Language Model Size Reduction using Better Pruning Criteria. 176-182
  
• Jianfeng Gao, Joshua Goodman, Guihong Cao, Hang Li:
  Exploring Asymmetric Clustering for Statistical Language Modeling. 183-190
  
• Peng Xu, Ciprian Chelba, Frederick Jelinek:
  A Study on Richer Syntactic Dependencies for Structured Language Modeling. 191-198
  
• Dmitriy Genzel, Eugene Charniak:
  Entropy Rate Constancy in Text. 199-206
  
• Paola Merlo, Suzanne Stevenson, Vivian Tsang, Gianluca Allaria:
  A Multilingual Paradigm for Automatic Verb Classification. 207-214
  
• Nobuhiro Kaji, Daisuke Kawahara, Sadao Kurohashi, Satoshi Sato:
  Verb Paraphrase based on Case Frame Alignment. 215-222
  
• Sabine Schulte im Walde, Chris Brew:
  Inducing German Semantic Verb Classes from Purely Syntactic Subcategorisation Information. 223-230
  
• James R. Curran, Marc Moens:
  Scaling Context Space. 231-238
  
• Daniel Gildea, Martha Stone Palmer:
  The Necessity of Parsing for Predicate Argument Recognition. 239-246
  
• Barbara Rosario, Marti A. Hearst, Charles J. Fillmore:
  The Descent of Hierarchy, and Selection in Relational Semantics. 247-254
  
• Mona T. Diab, Philip Resnik:
  An Unsupervised Method for Word Sense Tagging using Parallel Corpora. 255-262
  
• Michael Collins, Nigel Duffy:
  New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron. 263-270
  
• Stefan Riezler, Tracy H. King, Ronald M. Kaplan, Richard S. Crouch, John T. Maxwell III, Mark Johnson:
  Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques. 271-278
  
• Stuart Geman, Mark Johnson:
  Dynamic programming for parsing and estimation of stochastic unification-based grammars. 279-286
  
• Brian Roark:
  Markov Parsing: Lattice Rescoring with a Statistical Parser. 287-294
  
• Franz Josef Och, Hermann Ney:
  Discriminative Training and Maximum Entropy Models for Statistical Machine Translation. 295-302
  
• Kenji Yamada, Kevin Knight:
  A Decoder for Syntax-based Statistical MT. 303-310
  
• Kishore Papineni, Salim Roukos, Todd Ward, Wei-Jing Zhu:
  Bleu: a Method for Automatic Evaluation of Machine Translation. 311-318
  
• Jason Baldridge, Geert-Jan M. Kruijff:
  Coupling CCG and Hybrid Logic Dependency Semantics. 319-326
  
• Stephen Clark, Julia Hockenmaier, Mark Steedman:
  Building Deep Dependency Structures using a Wide-Coverage CCG Parser. 327-334
  
• Julia Hockenmaier, Mark Steedman:
  Generative Models for Statistical Parsing with Combinatory Categorial Grammar. 335-342
  
• Cong Li, Hang Li:
  Word Translation Disambiguation Using Bilingual Bootstrapping. 343-351
  
• Christoph Müller, Stefan Rapp, Michael Strube:
  Applying Co-Training to Reference Resolution. 352-359
  
• Steven P. Abney:
  Bootstrapping. 360-367
  
• Daniel Marcu, Abdessamad Echihabi:
  An Unsupervised Approach to Recognizing Discourse Relations. 368-375
  
• Michael Johnston, Srinivas Bangalore, Gunaranjan Vasireddy, Amanda Stent, Patrick Ehlen, Marilyn A. Walker, Steve Whittaker, Preetam Maloor:
  MATCH: An Architecture for Multimodal Dialogue Systems. 376-383
  
• Helen Wright Hastie, Rashmi Prasad, Marilyn A. Walker:
  What's the Problem: Automatically Identifying Problematic Dialogues in DARPA Communicator Dialogue Systems. 384-391
  
• Rebecca Hwa, Philip Resnik, Amy Weinberg, Okan Kolak:
  Evaluating Translational Correspondence using Annotation Projection. 392-399
  
• Yaser Al-Onaizan, Kevin Knight:
  Translating Named Entities Using Monolingual and Bilingual Resources. 400-408
  
• Katharina Probst, Ralf D. Brown:
  Using Similarity Scoring to Improve the Bilingual Dictionary for Sub-sentential Alignment. 409-416
  
• Peter D. Turney:
  Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. 417-424
  
• Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev:
  Is It the Right Answer? Exploiting Web Redundancy for Answer Validation. 425-432
  
• Antal van den Bosch, Sabine Buchholz:
  Shallow Parsing on the Basis of Words Only: A Case Study. 433-440
  
• Berthold Crysmann, Anette Frank, Bernd Kiefer, Stefan Mueller, Günter Neumann, Jakub Piskorski, Ulrich Schäfer, Melanie Siegel, Hans Uszkoreit, Feiyu Xu, Markus Becker, Hans-Ulrich Krieger:
  An Integrated Archictecture for Shallow and Deep Processing. 441-448
  
• Hal Daumé III, Daniel Marcu:
  A Noisy-Channel Model for Document Compression. 449-456
  
• Chin-Yew Lin, Eduard H. Hovy:
  From Single to Multi-document Summarization. 457-464
  
• Tadashi Nomoto, Yuji Matsumoto:
  Supervised Ranking in Open-Domain Text Summarization. 465-472
  
• Guodong Zhou, Jian Su:
  Named Entity Recognition using an HMM-based Chunk Tagger. 473-480
  
• Hai Leong Chieu, Hwee Tou Ng:
  Teaching a Weaker Classifier: Named Entity Recognition on Upper Case Text. 481-488
  
• Michael Collins:
  Ranking Algorithms for Named Entity Extraction: Boosting and the Voted Perceptron. 489-496
  
• Tetsuji Nakagawa, Taku Kudo, Yuji Matsumoto:
  Revision Learning and its Application to Part-of-Speech Tagging. 497-504
  
• Manabu Sassano:
  An Empirical Study of Active Learning with Support Vector Machines for Japanese Word Segmentation. 505-512
  
• Alexander Clark:
  Memory-Based Learning of Morphology with Stochastic Transducers. 513-520