Moosavi, Nafise Sadat ; Born, Leo ; Poesio, Massimo ; Strube, Michael (2019)
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection.
The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). Florence, Italy (28.07.2019-02.08.2019)
doi: 10.18653/v1/P19-1408
Konferenzveröffentlichung, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
The common practice in coreference resolution is to identify and evaluate the maximum span of mentions. The use of maximum spans tangles coreference evaluation with the challenges of mention boundary detection like prepositional phrase attachment. To address this problem, minimum spans are manually annotated in smaller corpora. However, this additional annotation is costly and therefore, this solution does not scale to large corpora. In this paper, we propose the MINA algorithm for automatically extracting minimum spans to benefit from minimum span evaluation in all corpora. We show that the extracted minimum spans by MINA are consistent with those that are manually annotated by experts. Our experiments show that using minimum spans is in particular important in cross-dataset coreference evaluation, in which detected mention boundaries are noisier due to domain shift. We have integrated MINA into https://github.com/ns-moosavi/coval for reporting standard coreference scores based on both maximum and automatically detected minimum spans.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Moosavi, Nafise Sadat ; Born, Leo ; Poesio, Massimo ; Strube, Michael |
| Art des Eintrags: | Bibliographie |
| Titel: | Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection |
| 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/P19-1408 |
| URL / URN: | https://aclanthology.org/P19-1408 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | The common practice in coreference resolution is to identify and evaluate the maximum span of mentions. The use of maximum spans tangles coreference evaluation with the challenges of mention boundary detection like prepositional phrase attachment. To address this problem, minimum spans are manually annotated in smaller corpora. However, this additional annotation is costly and therefore, this solution does not scale to large corpora. In this paper, we propose the MINA algorithm for automatically extracting minimum spans to benefit from minimum span evaluation in all corpora. We show that the extracted minimum spans by MINA are consistent with those that are manually annotated by experts. Our experiments show that using minimum spans is in particular important in cross-dataset coreference evaluation, in which detected mention boundaries are noisier due to domain shift. We have integrated MINA into https://github.com/ns-moosavi/coval for reporting standard coreference scores based on both maximum and automatically detected minimum spans. |
| Freie Schlagworte: | UKP_p_QAEduInf |
| 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 12:20 |
| Letzte Änderung: | 05 Jun 2024 07:53 |
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| Suche nach Titel in: | TUfind oder in Google |
Verfügbare Versionen dieses Eintrags
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Handling Domain Shift in Coreference Evaluation by Using Automatically Extracted Minimum Spans. (deposited 27 Mai 2019 13:57)
- Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection. (deposited 18 Sep 2019 12:20) [Gegenwärtig angezeigt]
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