Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Daisuke Bekki"'
Publikováno v:
Journal of Language Modelling, Vol 10, Iss 1 (2023)
This paper presents a computational framework for Natural Language Inference (NLI) using logic-based semantic representations and theorem-proving. We focus on logical inferences with comparatives and other related constructions in English, which are
Externí odkaz:
https://doaj.org/article/bd49152afabd40428b8aef9573d721cf
Publikováno v:
Oslo Studies in Language, Vol 10, Iss 2 (2018)
This paper presents an analysis of coercion and related phenomena in the framework of Dependent Type Semantics (DTS). Using underspecified terms in DTS, we present an analysis of selectional restriction as presupposition; we then combine it with a ty
Externí odkaz:
https://doaj.org/article/58319a1aea1546058a73b14bafeebf27
Publikováno v:
Journal of Language Modelling, Vol 5, Iss 2 (2017)
Dependent type theory has been applied to natural language semantics in order to provide a formally precise and computationally adequate account of dynamic aspects of meaning. One of the frameworks of natural language semantics based on dependent typ
Externí odkaz:
https://doaj.org/article/00211a2355734f009ec7a0961107dbf2
Autor:
Kozo Okano, Maiko Onishi, Jo Otsuka, Shinpei Ogata, Toshifusa Sekizawa, Keishi Okamoto, Daisuke Bekki
Publikováno v:
Procedia Computer Science. 207:532-541
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d9d20a87e5bb8292b7f7859742589a3
https://doi.org/10.1016/j.procs.2022.09.108
https://doi.org/10.1016/j.procs.2022.09.108
Publikováno v:
Logic and Algorithms in Computational Linguistics 2021 (LACompLing2021) ISBN: 9783031217791
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::039e9d905f3ebdcf69dc3d96492b0cc7
https://doi.org/10.1007/978-3-031-21780-7_11
https://doi.org/10.1007/978-3-031-21780-7_11
Publikováno v:
Learning and Analytics in Intelligent Systems ISBN: 9783031175824
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a4e51b97b6eb5e4f905fef12e184864
https://doi.org/10.1007/978-3-031-17583-1_14
https://doi.org/10.1007/978-3-031-17583-1_14
Publikováno v:
2022 29th Asia-Pacific Software Engineering Conference (APSEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c81e15b9e5f0e53dca89614c6324f04
https://doi.org/10.1109/apsec57359.2022.00051
https://doi.org/10.1109/apsec57359.2022.00051
Publikováno v:
Journal of Natural Language Processing. 28:874-880
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1689443655e719dca5af63c4ac3108ed
https://doi.org/10.5715/jnlp.28.874
https://doi.org/10.5715/jnlp.28.874
Publikováno v:
AAAI
In logic-based approaches to reasoning tasks such as Recognizing Textual Entailment (RTE), it is important for a system to have a large amount of knowledge data. However, there is a tradeoff between adding more knowledge data for improved RTE perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33a3913f1360c58365a1566ff968b323
https://doi.org/10.1609/aaai.v33i01.33017410
https://doi.org/10.1609/aaai.v33i01.33017410
Publikováno v:
Journal of Logic, Language and Information. 28:261-285
This paper provides a detailed comparison between discourse representation theory (DRT) and dependent type semantics (DTS), two frameworks for discourse semantics. Although it is often stated that DRT and those frameworks based on dependent types are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db53f201f337989fbcf2110a62d859e7
https://doi.org/10.1007/s10849-019-09294-3
https://doi.org/10.1007/s10849-019-09294-3