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COLING 2004: all accepted papers

204 papers · page 2 of 3 · the most cited first · ← COLING 2004

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  1. Improved Word Alignment Using a Symmetric Lexicon Model ↗Richard Zens, Evgeny Matusov, Hermann Ney
  2. Improving Chronological Sentence Ordering by Precedence Relation ↗Naoaki Okazaki, Yutaka Matsuo, Mitsuru Ishizuka
  3. Inferring parts of speech for lexical mappings via the Cyc KB ↗Tom O'Hara, Stefano Bertolo, Michael Witbrock et al.
  4. Knowledge Intensive Word Alignment with KNOWA ↗Emanuele Pianta, Luisa Bentivogli
  5. Learning Greek Verb Complements: Addressing the Class Imbalance ↗Katia Kermanidis, Manolis Maragoudakis, Nikos Fakotakis et al.
  6. Learning Table Extraction from Examples ↗Ashwin Tengli, Yiming Yang, Nian Li Ma
  7. Learning theories from text ↗Maria Liakata, Stephen Pulman
  8. Morpheme-based Derivation of Bipolar Semantic Orientation of Chinese Words ↗Raymond W.M. Yuen, Terence Y.W. Chan, Tom B.Y. Lai et al.
  9. Multilingual and cross-lingual news topic tracking ↗Bruno Pouliquen, Ralf Steinberger, Camelia Ignat et al.
  10. PageRank on Semantic Networks, with Application to Word Sense DisambiguationRada Mihalcea, Paul Tarau, Elizabeth Figaour summary
  11. Part-of-Speech Tagging in Context ↗Michele Banko, Robert C. Moore
  12. Probabilistic Sentence Reduction Using Support Vector Machines ↗Minh Le Nguyen, Akira Shimazu, Susumu Horiguchi et al.
  13. Quantitative and Qualitative Evaluation of the OntoLearn Ontology Learning System ↗Roberto Navigli, Paola Velardi, Alessandro Cucchiarelli et al.
  14. Representing discourse coherence: A corpus-based analysisFlorian Wolf, Edward Gibsonour summary
  15. Semantic Role Labeling Via Integer Linear Programming Inference ↗Vasin Punyakanok, Dan Roth, Wen-tau Yih et al.
  16. Tagging with Hidden Markov Models Using Ambiguous Tags ↗Alexis Nasr, Frédéric Bechét, Alexandra Volanschi
  17. Talking robots with Lego MindStorms ↗Alexander Koller, Geert-Jan Kruijff
  18. The Importance of Supertagging for Wide-Coverage CCG ParsingStephen Clark, James R. Curranour summary
  19. Towards Terascale Semantic Acquisition ↗Patrick Pantel, Deepak Ravichandran, Eduard Hovy
  20. Understanding Students' Explanations in Geometry Tutoring ↗Octav Popescu, Vincent Aleven, Kenneth Koedinger

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