Proceedings of Conference on Empirical Methods in Natural Language Processing - Author Index

Androutsopoulos, Ion Stacking Classifiers for Anti-Spam Filtering of E-Mail
Bangalore, Srinivas Impact of Quality and Quantity of Corpora on Stochastic Generation
Byrd, Roy J. Hybrid Text Mining for Finding Abbreviations and their Definitions
Cardie, Claire Limitations of Co-Training for Natural Language Learning from Large Datasets
Chelba, Ciprian Information Extraction Using the Structured Language Model
Chen, John Impact of Quality and Quantity of Corpora on Stochastic Generation
Choi, Freddy Y. Y. Latent Semantic Analysis for Text Segmentation
Church, Kenneth W. Using Bins to Empirically Estimate Term Weights for Text Categorization
Dickerson, Bob Detecting Short Passages of Similar Text in Large Document Collections
Eneva, Elena Learning Within-Sentence Semantic Coherence
Even-Zohar, Yair A Sequential Model for Multi-Class Classification
Gildea, Daniel Corpus Variation and Parser Performance
Hearst, Marti Classifying the Semantic Relations in Noun Compounds via a Domain-Specific Lexical Hierarchy
Hoberman, Rose Learning Within-Sentence Semantic Coherence
Isahara, Hitoshi The Unknown Word Problem: a Morphological Analysis of Japanese Using Maximum Entropy Aided by a Dictionary
Jurafsky, Daniel Is Knowledge-Free Induction of Multiword Unit Dictionary Headwords a Solved Problem?
Karkaletsis, Vangelis Stacking Classifiers for Anti-Spam Filtering of E-Mail
Kim, Byeongchang Automatic Corpus-based Tone Prediction using K-ToBI Representation
Kim, Seonho Improving Lexical Mapping Model of English-Korean Bitext Using Structural Features
Knight, Kevin Knowledge Sources for Word-Level Translation Models
Koehn, Philipp Knowledge Sources for Word-Level Translation Models
Kwan, Jennifer Lai Pheng Question Answering Using a Large Text Database: A Machine Learning Approach
Lee, Gary Geunbae Automatic Corpus-based Tone Prediction using K-ToBI Representation
Lee, Jin-Seok Automatic Corpus-based Tone Prediction using K-ToBI Representation
Lita, Lucian Learning Within-Sentence Semantic Coherence
Lyon, Caroline Detecting Short Passages of Similar Text in Large Document Collections
Mller, Karin Probabilistic Context-Free Grammars for Syllabification and Grapheme-to-Phoneme Conversion
Mahajan, Milind Information Extraction Using the Structured Language Model
Malcolm, James Detecting Short Passages of Similar Text in Large Document Collections
Matsumoto, Yuji Feature Space Restructuring for SVMs with Application to Text Categorization
Megyesi, Beta Comparing Data-Driven Learning Algorithms for PoS Tagging of Swedish
Moore, Johanna Latent Semantic Analysis for Text Segmentation
Ng, Hwee Tou Question Answering Using a Large Text Database: A Machine Learning Approach
Paliouras, Georgios Stacking Classifiers for Anti-Spam Filtering of E-Mail
Park, Youngja Hybrid Text Mining for Finding Abbreviations and their Definitions
Pierce, David Limitations of Co-Training for Natural Language Learning from Large Datasets
Rambow, Owen Impact of Quality and Quantity of Corpora on Stochastic Generation
Rosario, Barbara Classifying the Semantic Relations in Noun Compounds via a Domain-Specific Lexical Hierarchy
Roth, Dan A Sequential Model for Multi-Class Classification
Sable, Carl Using Bins to Empirically Estimate Term Weights for Text Categorization
Sakkis, Georgios Stacking Classifiers for Anti-Spam Filtering of E-Mail
Schone, Patrick Is Knowledge-Free Induction of Multiword Unit Dictionary Headwords a Solved Problem?
Sekine, Satoshi The Unknown Word Problem: a Morphological Analysis of Japanese Using Maximum Entropy Aided by a Dictionary
Song, Mansuk Improving Lexical Mapping Model of English-Korean Bitext Using Structural Features
Spyropoulos, Constantine D. Stacking Classifiers for Anti-Spam Filtering of E-Mail
Stamatopoulos, Panagiotis Stacking Classifiers for Anti-Spam Filtering of E-Mail
Takamura, Hiroya Feature Space Restructuring for SVMs with Application to Text Categorization
Uchimoto, Kiyotaka The Unknown Word Problem: a Morphological Analysis of Japanese Using Maximum Entropy Aided by a Dictionary
Wiemer-Hastings, Peter Latent Semantic Analysis for Text Segmentation
Xia, Yiyuan Question Answering Using a Large Text Database: A Machine Learning Approach
Yoon, Juntae Improving Lexical Mapping Model of English-Korean Bitext Using Structural Features