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This paper presents a methodology to extract positive interpretations from negated statements.
Physical Description
11 p.
Notes
Abstract: This paper presents a methodology to extract positive interpretations from negated statements. First, we automatically generate plausible interpretations using well-known grammar rules and manipulating semantic roles. Second, we score plausible alternatives according to their likelihood. Manual annotations show that the positive interpretations are intuitive to humans, and experimental results show that the scoring task can be automated.
15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, June 12-17, 2016. San Diego, CA, United States
Publication Title:
Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Pages:
11
Page Start:
1431
Page End:
1441
Peer Reviewed:
Yes
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Blanco, Eduardo & Sarabi, Zahra.Automatic Generation and Scoring of Positive Interpretations from Negated Statements,
paper,
June 2016;
Stroudsburg, Pennsylvania.
(https://digital.library.unt.edu/ark:/67531/metadc993406/:
accessed July 18, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Engineering.