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ORCIDNAACL 2001: Pittsburgh, USA
- Language Technologies 2001: The Second Meeting of the North American Chapter of the Association for Computational Linguistics, NAACL 2001, Pittsburgh, PA, USA, June 2-7, 2001. The Association for Computational Linguistics 2001
- Sebastian Varges, Chris Mellish:
Instance-Based Natural Language Generation. - Hua Cheng, Massimo Poesio, Renate Henschel, Chris Mellish:
Corpus-based NP Modifier Generation. - Marilyn A. Walker, Owen Rambow, Monica Rogati:
SPoT: A Trainable Sentence Planner. - Kishore Papineni:
Why Inverse Document Frequency? - Abraham Ittycheriah, Martin Franz, Wei-Jing Zhu, Adwait Ratnaparkhi:
Question Answering Using Maximum-Entropy Components. - Grace Ngai, Radu Florian:
Transformation Based Learning in the Fast Lane. - Eugene Charniak:
Unsupervised Learning of Name Structure From Coreference Data. - Sanda M. Harabagiu, Razvan C. Bunescu, Steven J. Maiorano:
Text and Knowledge Mining for Coreference Resolution. - Maria Lapata:
A Corpus-based Account of Regular Polysemy: The Case of Context-sensitive Adjectives. - Noriko Tomuro:
Tree-Cut and a Lexicon Based on Systematic Polysemy. - Ted Pedersen:
A Decision Tree of Bigrams is an Accurate Predictor of Word Sense. - Fernando Gomez:
An Algorithm for Aspects of Semantic Interpretation Using an Enhanced WordNet. - Stephen Clark, David J. Weir:
Class-Based Probability Estimation Using a Semantic Hierarchy. - Grzegorz Kondrak:
Identifying Cognates by Phonetic and Semantic Similarity. - Martin Jansche:
Re-Engineering Letter-to-Sound Rules. - Eugene Charniak, Mark Johnson:
Edit Detection and Parsing for Transcribed Speech. - Sergey V. Pakhomov, Michael Schonwetter, Joan Bachenko:
Generating Training Data for Medical Dictations. - Srinivas Bangalore, Giuseppe Riccardi:
A Finite-State Approach to Machine Translation. - Keiko Horiguchi:
Information-Based Machine Translation. - Gideon S. Mann, David Yarowsky:
Multipath Translation Lexicon Induction via Bridge Languages. - John Hale:
A Probabilistic Earley Parser as a Psycholinguistic Model. - Éric Villemonte de la Clergerie:
Refining Tabular Parsers for TAGs. - Anoop Sarkar:
Applying Co-Training Methods to Statistical Parsing. - Patrick Schone, Daniel Jurafsky:
Knowledge-Free Induction of Inflectional Morphologies. - Taku Kudo, Yuji Matsumoto:
Chunking with Support Vector Machines. - David Yarowsky, Grace Ngai:
Inducing Multilingual POS Taggers and NP Bracketers via Robust Projection Across Aligned Corpora. - Julia Hirschberg, Diane J. Litman, Marc Swerts:
Identifying User Corrections Automatically in Spoken Dialogue Systems. - Renaud Lecoeuche:
Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming. - Dong Hoon Van Uytsel, Filip Van Aelten, Dirk Van Compernolle:
A Structured Language Model Based on Context-Sensitive Probabilistic Left-Corner Parsing. - Manny Rayner, Genevieve Gorrell, Beth Ann Hockey, John Dowding, Johan Boye:
Do CFG-Based Language Models Need Agreement Constraints? - Laura Mayfield Tomokiyo, Rosie Jones:
You're Not From 'Round Here, Are You? Naive Bayes Detection of Non-Native Utterances.
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