2001 | 2003

Proceedings of CoNLL-2002

The Sixth Workshop on Computational Language Learning (CoNLL-2002) was held on 31 August and 1 September 2002 in association with Coling 2002 in Taipei, Taiwan.

Paper copies of these proceedings can be ordered from the Association for Computational Linguistics, 75 Paterson Street, New Brunswick, NJ 08901 USA, phone: +1-732-342-9100, fax: +1-732-342-9339, e-mail: acl@aclweb.org or from Morgan Kaufman Publishers.

The editors of these proceedings are Dan Roth and Antal van den Bosch.

CoNLL-2002 Invited Paper

Models, Kernels, and Algorithms for Discrete Data

John Lafferty
[abstract]

CoNLL-2002 Papers

Extracting the unextractable: A case study on verb-particles

Timothy Baldwin and Aline Villavicencio
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Learning attribute values in typed unification grammers

Liviu Ciortuz
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Bootstrapping a multilingual part-of-speech tagger in one person-day

Silviu Cucerzan and David Yarowsky
[abstract] [ps] [ps.gz] [pdf] [bibtex]

A very very large corpus doesn't always yield reliable estimates

James R. Curran and Miles Osborne
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Cross-dataset clustering: Revealing corresponding themes across multiple corpora

Ido Dagan, Zvika Marx and Eli Shamir
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Combining labelled and unlabelled data: a case study on Fisher kernels and transductive inference for biological entity recognition

Cyril Goutte, Hervé Déjean, Eric Gaussier, Nicola Cancedda and Jean-Michel Renders
[abstract] [ps] [ps.gz] [pdf] [bibtex]

GraSp: Grammer learning form unlabeled speech corpora

Peter Juel Henrichsen
[abstract] [ps] [ps.gz] [pdf] [bibtex]

On the robustness of entropy-based similarity measures in evaluation of subcategorization acquisition systems

Anna Korhonen and Yuval Krymolowski
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Distinguishing easy and hard instances

Yuval Krymolowski
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Japanese dependency analysis using cascaded chunking

Taku Kudo and Yuji Matsumoto
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Backward machine transliteration by learning phonetic similarity

Wei-Hao Lin and Hsin-Hsi Chen
[abstract] [ps] [ps.gz] [pdf] [bibtex]

A comparison of algorithms for maximum entropy parameter estimation

Robert Malouf
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Letter level learning for language independent diacritics restoration

Rada F. Mihalcea and Vivi A. Nastase
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Named entity learning and verification: EM in large corpora

Uwe Quasthoff and Christian Biemann
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Inducing translation lexicons via diverse similarity measures and bridge languages

Charles Schafer and David Yarowsky
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Features for unsupervised document classification

S.H. Srinivasan
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Two-dimensional clustering for text categorization

Hiroya Takamura and Yuji Matsumoto
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Use of support vector machines in extended named entity

Koichi Takeuchi and Nigel Collier
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Feature selection for a rich HPSG grammar using decision trees

Kristina Toutanova and Christopher Manning
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Topological fields chunking for German

Jorn Veenstra, Frank H. Müller and Tylman Ule
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Learning to distinguish PP arguments from adjuncts

Aline Villavicencio
[abstract] [ps] [ps.gz] [pdf] [bibtex]

Learning to disambiguate potentially subjective expressions

Janyce Wiebe and Theresa Wilson
[abstract] [ps] [ps.gz] [pdf] [bibtex]

CoNLL-2002 Shared Task Papers

Note: in some cases the output files provided here contain results which are slightly different from those mentioned in the papers.

Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition

Erik F. Tjong Kim Sang
paper: [abstract] [ps] [ps.gz] [pdf] [bibtex]
sheets: [ps] [ps.gz] [pdf]

Language-Independent Named Entity Classification by Modified Transformation-Based Learning and by Decision Tree Induction

William J. Black and Argyrios Vasilakopoulos
paper: [abstract] [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]

Statistical Named Entity Recognizer Adaptation

John D. Burger, John C. Henderson and William T. Morgan
paper: [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]

Named Entity Extraction using AdaBoost

Xavier Carreras, Lluís Márques and Lluís Padró
paper: [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]

Language Independent NER using a Unified Model of Internal and Contextual Evidence

Silviu Cucerzan and David Yarowsky
paper: [abstract] [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]

Named Entity Recognition as a House of Cards: Classifier Stacking

Radu Florian
paper: [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]

Named Entity Extraction with Conditional Markov Models and Classifiers

Martin Jansche
paper: [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]

Markov models for language-independent named entity recognition

Robert Malouf
paper: [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]

Entity Extraction Without Language-Specific Resources

Paul McNamee and James Mayfield
paper: [abstract] [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]

SLINERC: The Sydney Language-Independent Named Entity Recogniser and Classifier

Jon Patrick, Casey Whitelaw and Robert Munro
paper: [abstract] [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]

Memory-Based Named Entity Recognition

Erik F. Tjong Kim Sang
paper: [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]

Learning with Multiple Stacking for Named Entity Recognition

Koji Tsukamoto, Yutaka Mitsuishi and Manabu Sassano
paper: [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]

Boosting for Named Entity Recognition

Dekai Wu, Grace Ngai, Marine Carpuat, Jeppe Larsen and Yongsheng Yang
paper: [abstract] [ps] [ps.gz] [pdf] [bibtex]
system output: [tgz] [files]