2003 | 2005

Proceedings of CoNLL-2004

The Eighth Conference on Natural Language Learning (CoNLL-2004) was held on May 6-7, 2004 in association with HLT-NAACL 2004 in Boston, MA, USA.

Paper copies of these proceedings can be ordered from the Association for Computational Linguistics, 3 Landmark Center, East Stroudsburg, PA 18301 USA, phone: +1-570-476-8006, fax: +1-570-476-0860, e-mail: acl@aclweb.org , www: www.aclweb.org

The editors of these proceedings are Hwee Tou Ng and Ellen Riloff.

CoNLL-2004 Invited Papers

Language Learning: Beyond Thunderdome

Christopher D. Manning
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Putting Meaning into Your Trees

Martha Palmer
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CoNLL-2004 Papers

A Linear Programming Formulation for Global Inference in Natural Language Tasks

Dan Roth and Wen-tau Yih
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Semantic Lexicon Construction: Learning from Unlabeled Data via Spectral Analysis

Rie Kubota Ando
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A Semantic Kernel for Predicate Argument Classification

Alessandro Moschitti and Cosmin Adrian Bejan
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Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation

Saif Mohammad and Ted Pedersen
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Co-training and Self-training for Word Sense Disambiguation

Rada Mihalcea
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Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces

Amruta Purandare and Ted Pedersen
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Memory-Based Dependency Parsing

Joakim Nivre, Johan Hall and Jens Nilsson
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Modeling Category Structures with a Kernel Function

Hiroya Takamura, Yuji Matsumoto and Hiroyasu Yamada
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A Comparison of Manual and Automatic Constructions of Category Hierarchy for Classifying Large Corpora

Fumiyo Fukumoto and Yoshimi Suzuki
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Thesauruses for Prepositional Phrase Attachment

Mark McLauchlan
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Calculating Semantic Distance between Word Sense Probability Distributions

Vivian Tsang and Suzanne Stevenson
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CoNLL-2004 Shared Task Papers

Introduction to the CoNLL-2004 Shared Task: Semantic Role Labeling

Xavier Carreras and Lluís Màrquez
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Semantic Role Labelling With Chunk Sequences

Ulrike Baldewein, Katrin Erk, Sebastian Padó and Detlef Prescher
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Memory-based semantic role labeling: Optimizing features, algorithm, and output

Antal van den Bosch, Sander Canisius, Walter Daelemans, Iris Hendrickx and Erik Tjong Kim Sang
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Hierarchical Recognition of Propositional Arguments with Perceptrons

Xavier Carreras, Lluís Màrquez and Grzegorz Chrupala
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Semantic Role Labeling by Tagging Syntactic Chunks

Kadri Hacioglu, Sameer Pradhan, Wayne Ward, James H. Martin and Daniel Jurafsky
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A transformation-based approach to argument labeling

Derrick Higgins
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A Memory-Based Approach for Semantic Role Labeling

Beata Kouchnir
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Semantic Role Labeling using Maximum Entropy Model

Joon-Ho Lim, Young-Sook Hwang, So-Young Park and Hae-Chang Rim
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Two-Phase Semantic Role Labeling based on Support Vector Machines

Kyung-Mi Park, Young-Sook Hwang and Hae-Chang Rim
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Semantic Role Labeling Via Generalized Inference Over Classifiers

Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak and Yuancheng Tu
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Learning Transformation Rules for Semantic Role Labeling

Ken Williams, Christopher Dozier and Andrew McCulloh
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