Barhom, Shany ; Shwartz, Vered ; Eirew, Alon ; Bugert, Michael ; Reimers, Nils ; Dagan, Ido (2019)
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution.
The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). Florence, Italy (28.07.2019-02.08.2019)
doi: 10.18653/v1/P19-1409
Konferenzveröffentlichung, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
Recognizing coreferring events and entities across multiple texts is crucial for many NLP applications. Despite the task’s importance, research focus was given mostly to within-document entity coreference, with rather little attention to the other variants. We propose a neural architecture for cross-document coreference resolution. Inspired by Lee et al. (2012), we jointly model entity and event coreference. We represent an event (entity) mention using its lexical span, surrounding context, and relation to entity (event) mentions via predicate-arguments structures. Our model outperforms the previous state-of-the-art event coreference model on ECB+, while providing the first entity coreference results on this corpus. Our analysis confirms that all our representation elements, including the mention span itself, its context, and the relation to other mentions contribute to the model’s success.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Barhom, Shany ; Shwartz, Vered ; Eirew, Alon ; Bugert, Michael ; Reimers, Nils ; Dagan, Ido |
| Art des Eintrags: | Bibliographie |
| Titel: | Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution |
| Sprache: | Englisch |
| Publikationsjahr: | 27 Mai 2019 |
| Ort: | Florence, Italy |
| Verlag: | Association for Computational Linguistics |
| Buchtitel: | Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics |
| Veranstaltungstitel: | The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) |
| Veranstaltungsort: | Florence, Italy |
| Veranstaltungsdatum: | 28.07.2019-02.08.2019 |
| DOI: | 10.18653/v1/P19-1409 |
| URL / URN: | https://aclanthology.org/P19-1409 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Recognizing coreferring events and entities across multiple texts is crucial for many NLP applications. Despite the task’s importance, research focus was given mostly to within-document entity coreference, with rather little attention to the other variants. We propose a neural architecture for cross-document coreference resolution. Inspired by Lee et al. (2012), we jointly model entity and event coreference. We represent an event (entity) mention using its lexical span, surrounding context, and relation to entity (event) mentions via predicate-arguments structures. Our model outperforms the previous state-of-the-art event coreference model on ECB+, while providing the first entity coreference results on this corpus. Our analysis confirms that all our representation elements, including the mention span itself, its context, and the relation to other mentions contribute to the model’s success. |
| Freie Schlagworte: | UKP_p_DIP |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
| Hinterlegungsdatum: | 18 Sep 2019 12:16 |
| Letzte Änderung: | 05 Jun 2024 08:00 |
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| Suche nach Titel in: | TUfind oder in Google |
Verfügbare Versionen dieses Eintrags
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Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. (deposited 27 Mai 2019 13:53)
- Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. (deposited 18 Sep 2019 12:16) [Gegenwärtig angezeigt]
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