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Author Di Sciullo, A.M. ♦ Somesfalean, S. ♦ Batori, C. ♦ Gabrini, P.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Mars ♦ asymmetric relations ♦ pronominal anaphora resolution ♦ Natural languages ♦ Semantics ♦ argument structure ♦ Syntactics ♦ Probabilistic logic ♦ Books ♦ parsing ♦ covert arguments ♦ Intelligent systems
Abstract We argue that pronominal anaphora understanding must rely on the recovery of argument structure asymmetries in conjunction with principles restricting the set of possible antecedents for pronouns. We provide empirical evidence for the need of deep parsing recovering arguments, both overt and covert, that can be possible antecedents for pronouns. We identify several limits of systems that do not rely on deep parsing for pronominal anaphora resolution. We point to independent evidence sustaining our claim, and we draw more general consequences for Natural Language Understanding.
Description Author affiliation: Department of Computer Science, UQAM, Montreal, Canada (Batori, C.; Gabrini, P.) || Department of Linguistics, UQAM, Montreal, Canada (Di Sciullo, A.M.; Somesfalean, S.)
ISBN 9781424481347
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-11-29
Publisher Place Egypt
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424481361
Size (in Bytes) 233.91 kB
Page Count 6
Starting Page 1107
Ending Page 1112


Source: IEEE Xplore Digital Library