Conference on Computational Natural Language Learning (2002)
COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)
COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)
Extracting the Unextractable: A Case Study on Verb-particles
Timothy Baldwin
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Aline Villavicencio
Language Independent Named Entity Classification by modified Transformation-based Learning and by Decision Tree Induction
William J. Black
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Argyrios Vasilakopoulos
Statistical Named Entity Recognizer Adaptation
John D. Burger
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John C. Henderson
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William T. Morgan
Named Entity Extraction using AdaBoost
Xavier Carreras
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Lluís Màrquez
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Lluís Padró
Learning Attribute Values in Typed-unification Grammars: On Generalised Rule Reduction
Liviu Ciortuz
Bootstrapping a Multilingual Part-of-speech Tagger in One Person-day
Silviu Cucerzan
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David Yarowsky
Language Independent NER using a Unified Model of Internal and Contextual Evidence
Silviu Cucerzan
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David Yarowsky
A Very Very Large Corpus Doesn’t Always Yield Reliable Estimates
James R. Curran
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Miles Osborne
Cross-dataset Clustering: Revealing Corresponding Themes across Multiple Corpora
Ido Dagan
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Zvika Marx
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Eli Shamir
Named Entity Recognition as a House of Cards: Classifier Stacking
Radu Florian
Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition
Cyril Goutte
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Hervé Déjean
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Eric Gaussier
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Nicola Cancedda
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Jean-Michel Renders
GraSp: Grammar Learning from Unlabelled Speech Corpora
Peter Juel Henrichsen
Named Entity Extraction with Conditional Markov Models and Classifiers
Martin Jansche
On the Robustness of Entropy-Based Similarity Measures in Evaluation of Subcategorization Acquisition Systems
Anna Korhonen
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Yuval Krymolowski
Distinguishing Easy and Hard Instances
Yuval Krymolowski
Japanese Dependency Analysis using Cascaded Chunking
Taku Kudo
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Yuji Matsumoto
Backward Machine Transliteration by Learning Phonetic Similarity
Wei-Hao Lin
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Hsin-Hsi Chen
A Comparison of Algorithms for Maximum Entropy Parameter Estimation
Robert Malouf
Markov Models for Language-independent Named Entity Recognition
Robert Malouf
Entity Extraction without Language-Specific Resources
Paul McNamee
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James Mayfield
Letter Level Learning for Language Independent Diacritics Restoration
Rada Mihalcea
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Vivi Nastase
SLINERC: The Sydney Language-Independent Named Entity Recogniser and Classifier
Jon Patrick
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Casey Whitelaw
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Robert Munro
Named Entity Learning and Verification: Expectation Maximization in Large Corpora
Uwe Quasthoff
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Christian Biemann
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Christian Wolff
Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition
Erik F. Tjong Kim Sang
Memory-Based Named Entity Recognition
Erik F. Tjong Kim Sang
Inducing Translation Lexicons via Diverse Similarity Measures and Bridge Languages
Charles Schafer
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David Yarowsky
Features for Unsupervised Document Classification
S. H. Srinivasan
Two-dimensional Clustering for Text Categorization
Hiroya Takamura
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Yuji Matsumoto
Use of Support Vector Machines in Extended Named Entity Recognition
Koichi Takeuchi
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Nigel Collier
Feature Selection for a Rich HPSG Grammar Using Decision Trees
Kristina Toutanova
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Christopher D. Manning
Learning with Multiple Stacking for Named Entity Recognition
Koji Tsukamoto
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Yutaka Mitsuishi
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Manabu Sassano
Topological Field Chunking for German
Jorn Veenstra
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Frank Henrik Müller
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Tylman Ule
Learning to Distinguish PP Arguments from Adjuncts
Aline Villavicencio
Learning to Disambiguate Potentially Subjective Expressions
Janyce Wiebe
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Theresa Wilson
Boosting for Named Entity Recognition
Dekai Wu
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Grace Ngai
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Marine Carpuat
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Jeppe Larsen
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Yongsheng Yang