Multilingual dependency learning: A huge feature engineering method to semantic dependency parsing

CoNLL- 2009: Shared Task - Proceedings of the Thirteenth Conference on Computational Natural Language Learning, CoNLL: Shared Task

Volumn , Issue , 2009, Pages 61-66

  Zhao, Hai ^a   Chen, Wenliang ^b   Kazama, Jun'ichi ^b   Uchimoto, Kiyotaka ^b   Torisawa, Kentaro ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BEST FIT; ENGINEERING METHODS; FEATURE TEMPLATE; PRUNING STRATEGY; SEMANTIC DEPENDENCY; SINGLE STAGE;

LEARNING SYSTEMS; SEMANTICS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84863874507     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

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14. Hai Zhao, Wenliang Chen, Chunyu Kit, and Guodong Zhou. 2009. Contributor Multilingual dependency learning: A huge feature engineering method to semantic dependency parsing. In title typejournalProceedings of CoNLL-2009, Boulder, Colorado, USA.
15. Hai Zhao and Chunyu Kit. 2008. Parsing syntactic and semantic dependencies with two single-stage maximum entropy models. In Proceedings of CoNLL-2008, pages 203-207, Manchester, UK, August 16-17.