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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
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Asking questions about a situation is an inherent step towards understanding it. To this end, we introduce the task of role question generation, which, given a predicate mention and a passage, requires producing a set of questions asking about all po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30f7ea8a8fee68169ba7d15be3076d71
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