A pipeline model for bottom-up dependency parsing

CoNLL 2006 - Proceedings of the 10th Conference on Computational Natural Language Learning

Volumn , Issue , 2006, Pages 186-190

  Chang, Ming Wei ^a   Do, Quang ^a   Roth, Dan ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

BOTTOM UP; DEPENDENCY PARSING; LINEAR PIPELINE; LOCAL PREDICTION; LOCAL SEARCH; PARSING ALGORITHM; PERFORMANCE; PIPELINE MODELS;

PIPELINES;

EID: 85117721698     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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3. M. Chang, Q. Do, and D. Roth. 2006. Local search for bottom-up dependency parsing. Technical report, UIUC Computer Science Department.
4. Joakim Nivre and Jens Nilsson. 2005. Pseudo-projective dependency parsing. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05).
5. D. Roth. 1998. Learning to resolve natural language ambiguities: A unified approach. In Proceedings of the National Conference on Artificial Intelligence (AAAI), pages 806–813.
6. H. Yamada and Y. Matsumoto. 2003. Statistical dependency analysis with support vector machines. In IWPT2003.