Conference on Empirical Methods in Natural Language Processing (2001)
Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing
Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing
Limitations of Co-Training for Natural Language Learning from Large Datasets
David Pierce
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Claire Cardie
A Sequential Model for Multi-Class Classification
Yair Even-Zohar
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Dan Roth
Learning Within-Sentence Semantic Coherence
Elena Eneva
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Rose Hoberman
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Lucian Lita
Knowledge Sources for Word-Level Translation Models
Philipp Koehn
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Kevin Knight
Improving Lexical Mapping Model of English-Korean Bitext Using Structural Features
Seonho Kim
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Juntae Yoon
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Mansuk Song
Stacking Classifiers for Anti-Spam Filtering of E-Mail
Georgios Sakkis
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Ion Androutsopoulos
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Georgios Paliouras
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Vangelis Karkaletsis
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Constantine D. Spyropoulos
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Panagiotis Stamatopoulos
Feature Space Restructuring for SVMs with Application to Text Categorization
Hiroya Takamura
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Yuji Matsumoto
Using Bins to Empirically Estimate Term Weights for Text Categorization
Carl Sable
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Kenneth W. Church
Question Answering Using a Large Text Database: A Machine Learning Approach
Hwee Tou Ng
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Jennifer Lai Pheng Kwan
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Yiyuan Xia
Information Extraction Using the Structured Language Model
Ciprian Chelba
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Milind Mahajan
Classifying the Semantic Relations in Noun Compounds via a Domain-Specific Lexical Hierarchy
Barbara Rosario
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Marti Hearst
The Unknown Word Problem: a Morphological Analysis of Japanese Using Maximum Entropy Aided by a Dictionary
Kiyotaka Uchimoto
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Satoshi Sekine
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Hitoshi Isahara
Is Knowledge-Free Induction of Multiword Unit Dictionary Headwords a Solved Problem?
Patrick Schone
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Daniel Jurafsky
Latent Semantic Analysis for Text Segmentation
Freddy Y. Y. Choi
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Peter Wiemer-Hastings
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Johanna Moore
Detecting Short Passages of Similar Text in Large Document Collections
Caroline Lyon
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James Malcolm
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Bob Dickerson
Hybrid Text Mining for Finding Abbreviations and their Definitions
Youngja Park
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Roy J. Byrd
Automatic Corpus-based Tone Prediction using K-ToBI Representation
Jin-Seok Lee
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Byeongchang Kim
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Gary Geunbae Lee
Probabilistic Context-Free Grammars for Syllabification and Grapheme-to-Phoneme Conversion
Karin Müller
Comparing Data-Driven Learning Algorithms for PoS Tagging of Swedish
Beáta Megyesi
Impact of Quality and Quantity of Corpora on Stochastic Generation
Srinivas Bangalore
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John Chen
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Owen Rambow