Recognizing textual entailment using dependency analysis and machine learning

NAACL-HLT 2015 - 2015 Student Research Workshop (SRW) at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings

Volumn , Issue , 2015, Pages 147-153

  Sharma, Nidhi ^a   Sharma, Richa ^a   Biswas, Kanad K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; TEXT PROCESSING;

COMPARATIVES STUDIES; CURRENT SYSTEM; DEPENDENCY ANALYSIS; FEATURE VALUES; LEXICAL FEATURES; MACHINE LEARNING SYSTEMS; PERFORMANCE; RECOGNIZING TEXTUAL ENTAILMENTS;

MACHINE LEARNING;

EID: 84969370363     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

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10. Marie-Catherine de Marneffe, Bill MacCartney and Christopher D. Manning. 2006. Generating Typed Dependency Parses from Phrase Structure Parses. In LREC 2006.
11. Partha Pakray, Alexander Gelbukh and Sivaji Bandyopadhyay. 2011. Textual Entailment using Lexical and Syntactic Similarity. International Journal of Artificial Intelligence & Applications (IJAIA), 2(1): 43-58.
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13. Zornitsa Kozareva and Andrés Montoyo. 2006. MLEnt: The Machine Learning Entailment System of the University of Alicante. In Proceedings of the Second Challenge Workshop Recognizing Textual Entailment: 17-20.