Semantic parsing based on framenet

Proceedings of the SENSEVAL@ACL 2004: 3rd International Workshop on the Evaluation of Systems for the Semantic Analysis of Text - Held in cooperation with ACL 2004

Volumn , Issue , 2004, Pages 73-76

  Bejan, Cosmin Adrian ^a   Moschitti, Alessandro ^a   Morarescu, Paul ^a   Nicolae, Gabriel ^a   Harabagiu, Sanda ^a  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SEMANTICS; SYNTACTICS;

ENGLISH SENTENCES; F1 SCORES; FEATURES SETS; FRAMENET; SEMANTIC PARSING; SEMANTIC ROLES; SUPPORT VECTORS MACHINE; TRAINING DATA;

SUPPORT VECTOR MACHINES;

EID: 85036466852     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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4. T. Joachims. 1999. Making Large-Scale SVM Learning Practical. In B. Schlkopf, C. Burges, and MIT-Press. A. Smola (ed.), editors, Advances in Kernel Methods - Support Vector Learning.
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6. Mihai Surdeanu, Sanda M. Harabagiu, John Williams, and John Aarseth. 2003. Using predicate-argument structures for information extraction. In Proceedings of (ACL-03).