TY - GEN
T1 - An analysis of selectional restrictions with dependent type semantics
AU - Kinoshita, Eriko
AU - Mineshima, Koji
AU - Bekki, Daisuke
N1 - Funding Information:
We thank the two anonymous reviewers for helpful comments and suggestions. We also thank the audience of LENLS13 for their valuable comments and discussions. This work was supported by CREST, Japan Science and Technology Agency.
Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - Predicates in natural languages impose selectional restrictions on their arguments. In this paper, we analyze selectional restrictions of predicates within the framework of Dependent Type Semantics, a framework of natural language semantics based on dependent type theory. We also introduce operators that shift the meanings of predicates and analyze two phenomena, coercion and copredication for logical polysemous nouns, that present challenges to simple analysis of selectional restrictions.
AB - Predicates in natural languages impose selectional restrictions on their arguments. In this paper, we analyze selectional restrictions of predicates within the framework of Dependent Type Semantics, a framework of natural language semantics based on dependent type theory. We also introduce operators that shift the meanings of predicates and analyze two phenomena, coercion and copredication for logical polysemous nouns, that present challenges to simple analysis of selectional restrictions.
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U2 - 10.1007/978-3-319-61572-1_2
DO - 10.1007/978-3-319-61572-1_2
M3 - Conference contribution
AN - SCOPUS:85026352302
SN - 9783319615714
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 19
EP - 32
BT - New Frontiers in Artificial Intelligence - JSAI-isAI 2016 Workshops, LENLS HAT-MASH, AI-Biz, JURISIN and SKL, 2016
A2 - Arai, Sachiyo
A2 - Satoh, Ken
A2 - Bekki, Daisuke
A2 - Kurahashi, Setsuya
A2 - Ohta, Yuiko
PB - Springer Verlag
T2 - 8th JSAI International Symposium on AI, JSAI-isAI 2016
Y2 - 14 November 2016 through 16 November 2016
ER -