Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ayal Klein"'
Publikováno v:
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::085ee850b2b8f490ceb8a2f2ede33228
https://doi.org/10.18653/v1/2022.wassa-1.11
https://doi.org/10.18653/v1/2022.wassa-1.11
Multi-text applications, such as multi-document summarization, are typically required to model redundancies across related texts. Current methods confronting consolidation struggle to fuse overlapping information. In order to explicitly represent con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a06b4ba86a414429863f7367c81e98dc
http://arxiv.org/abs/2109.12655
http://arxiv.org/abs/2109.12655
Autor:
Daniela Stepanov, Ayal Klein, Jonathan Mamou, Dan Roth, Hangfeng He, Valentina Pyatkin, Ido Dagan, Luke Zettlemoyer
Publikováno v:
COLING
We propose a new semantic scheme for capturing predicate-argument relations for nominalizations, termed QANom. This scheme extends the QA-SRL formalism (He et al., 2015), modeling the relations between nominalizations and their arguments via natural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bd977fa64618182e6747846f12fc092
https://doi.org/10.18653/v1/2020.coling-main.274
https://doi.org/10.18653/v1/2020.coling-main.274
Publikováno v:
EMNLP (1)
Discourse relations describe how two propositions relate to one another, and identifying them automatically is an integral part of natural language understanding. However, annotating discourse relations typically requires expert annotators. Recently,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f2928b79b56a1c6dc821abd7af65689
https://doi.org/10.18653/v1/2020.emnlp-main.224
https://doi.org/10.18653/v1/2020.emnlp-main.224
Autor:
Jonathan Mamou, Luke Zettlemoyer, Paul Roit, Daniela Stepanov, Ayal Klein, Julian Michael, Ido Dagan, Gabriel Stanovsky
Publikováno v:
ACL
Question-answer driven Semantic Role Labeling (QA-SRL) was proposed as an attractive open and natural flavour of SRL, potentially attainable from laymen. Recently, a large-scale crowdsourced QA-SRL corpus and a trained parser were released. Trying to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f65506a5fad41680eaa7b6fa74bd62d1
https://doi.org/10.18653/v1/2020.acl-main.626
https://doi.org/10.18653/v1/2020.acl-main.626