EMNLP 2002: all accepted papers
- A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern ContextsMichael Thelen, Ellen Riloffour summary
- A Hybrid Approach to Natural Language Web Search ↗Jennifer Chu-Carroll, John Prager, Yael Ravin et al.
- A Machine-Learning Approach to Introspection in a Question Answering System ↗Krzysztof Czuba, John Prager, Jennifer Chu-Carroll
- A Method for Open-Vocabulary Speech-Driven Text Retrieval ↗Atsushi Fujii, Katunobu Itou, Tetsuya Ishikawa
- A Phrase-Based,Joint Probability Model for Statistical Machine TranslationDaniel Marcu, Daniel Wongour summary
- An Analysis of the AskMSR Question-Answering System ↗Eric Brill, Susan Dumais, Michele Banko
- An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense DisambiguationYoong Keok Lee, Hwee Tou Ngour summary
- An Incremental Decision List Learner ↗Joshua Goodman
- Augmented Mixture Models for Lexical Disambiguation ↗Silviu Cucerzan, David Yarowsky
- Bootstrapping Lexical Choice via Multiple-Sequence Alignment ↗Regina Barzilay, Lillian Lee
- Bootstrapping Named Entity Recognition for Italian Broadcast News ↗Marcello Federico, Nicola Bertoldi, Vanessa Sandrini
- Combining Outputs of Multiple Japanese Named Entity Chunkers by Stacking ↗Takehito Utsuro, Manabu Sassano, Kiyotaka Uchimoto
- Combining Sample Selection and Error-Driven Pruning for Machine Learning of Coreference RulesVincent Ng, Claire Cardieour summary
- Conditional Structure versus Conditional Estimation in NLP Models ↗Dan Klein, Christopher D. Manning
- Exploiting Headword Dependency and Predictive Clustering for Language Modeling ↗Jianfeng Gao, Hisami Suzuki, Yang Wen
- Exploiting Strong Syntactic Heuristics and Co-Training to Learn Semantic Lexicons ↗William Phillips, Ellen Riloff
- Extensions to HMM-based Statistical Word Alignment Models ↗Kristina Toutanova, H. Tolga Ilhan, Christopher Manning
- Extracting Clauses for Spoken Language Understanding in Conversational Systems ↗Narendra Gupta, Srinivas Bangalore
- Fast LR parsing Using Rich (Tree Adjoining) Grammars ↗Carlos A. Prolo
- From Words to Corpora: Recognizing Translation ↗Noah A. Smith
- Generation of Word Graphs in Statistical Machine Translation ↗Nicola Ueffing, Franz Josef Och, Hermann Ney
- Handling Noisy Training and Testing Data ↗Don Blaheta
- Information Extraction from Voicemail Transcripts ↗Martin Jansche, Steven Abney
- Kernel Methods for Relation ExtractionDmitry Zelenko, Chinatsu Aone, Anthony Richardellaour summary
- Manipulating Large Corpora for Text Classification ↗Fumiyo Fukumoto, Yoshimi Suzuki
- Metonymy Resolution as a Classification Task ↗Katja Markert, Malvina Nissim
- Minimum Bayes-Risk Word Alignments of Bilingual Texts ↗Shankar Kumar, William Byrne
- Modeling Consensus: Classifier Combination for Word Sense Disambiguation ↗Radu Florian, David Yarowsky
- NLP Found Helpful (at least for one Text Categorization Task) ↗Carl Sable, Kathleen McKeown, Kenneth Church
- Parsing and Disfluency Placement ↗Donald Engel, Eugene Charniak, Mark Johnson
- Phrasal Cohesion and Statistical Machine TranslationHeidi Foxour summary
- Processing Comparable Corpora With Bilingual Suffix Trees ↗Dragos Stefan Munteanu, Daniel Marcu
- Spectral Clustering for German Verbs ↗Chris Brew, Sabine Schulte im Walde
- The Influence of Minimum Edit Distance on Reference Resolution ↗Michael Strube, Stefan Rapp, Christoph Müller
- Thumbs up? Sentiment Classification using Machine Learning TechniquesBo Pang, Lillian Lee, Shivakumar Vaithyanathanour summary
- Transformational Priors Over Grammars ↗Jason Eisner
- User-Friendly Text Prediction For Translators ↗George Foster, Philippe Langlais, Guy Lapalme
- Using the Web to Overcome Data Sparseness ↗Frank Keller, Maria Lapata, Olga Ourioupina
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