Ellipsis resolution as question answering: An evaluation
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Most, if not all forms of ellipsis (e.g., 'so does Mary') are similar to reading comprehension questions ('what does Mary do'), in that in order to resolve them, we need to identify an appropriate text span in the preceding discourse. Following this observation, we present an alternative approach for English ellipsis resolution relying on architectures developed for question answering (QA). We present both single-task models, and joint models trained on auxiliary QA and coreference resolution datasets, clearly outperforming the current state of the art for Sluice Ellipsis (from 70.00 to 86.01 F1) and Verb Phrase Ellipsis (from 72.89 to 78.66 F1).
Originalsprog | Engelsk |
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Titel | EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference |
Antal sider | 8 |
Forlag | Association for Computational Linguistics |
Publikationsdato | 2021 |
Sider | 810-817 |
ISBN (Elektronisk) | 9781954085022 |
DOI | |
Status | Udgivet - 2021 |
Begivenhed | 16th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2021 - Virtual, Online Varighed: 19 apr. 2021 → 23 apr. 2021 |
Konference
Konference | 16th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2021 |
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By | Virtual, Online |
Periode | 19/04/2021 → 23/04/2021 |
Sponsor | Babelscape, Bloomberg Engineering, Facebook AI, Grammarly, LegalForce |
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