| dc.contributor.author | Alsulaimani, Ashjan | |
| dc.contributor.author | Moreau, Erwan | |
| dc.contributor.author | Vogel, Carl | |
| dc.date.accessioned | 2020-12-14T12:41:51Z | |
| dc.date.available | 2020-12-14T12:41:51Z | |
| dc.date.issued | 2020 | |
| dc.date.submitted | 2020 | en |
| dc.identifier.citation | Alsulaimani, A., Moreau, E., Vogel, C., An Evaluation Method for Diachronic Word Sense Induction, Findings of the Association for Computational Linguistics: EMNLP 2020, 3171–3180 | en |
| dc.identifier.other | Y | |
| dc.description | PUBLISHED | en |
| dc.description.abstract | The task of Diachronic Word Sense Induction (DWSI) aims to identify the meaning of words from their context, taking the temporal dimension into account. In this paper we propose an evaluation method based on large-scale time-stamped annotated biomedical data, and a range of evaluation measures suited to the task. The approach is applied to two recent DWSI systems, thus demonstrating its relevance and providing an in-depth analysis of the models. | en |
| dc.format.extent | 3171-3180 | en |
| dc.language.iso | en | en |
| dc.publisher | Association for Computational Linguistics | en |
| dc.rights | Y | en |
| dc.title | An Evaluation Method for Diachronic Word Sense Induction | en |
| dc.title.alternative | "Findings of the Association for Computational Linguistics: EMNLP 2020 | en |
| dc.type | Conference Paper | en |
| dc.type.supercollection | scholarly_publications | en |
| dc.type.supercollection | refereed_publications | en |
| dc.identifier.peoplefinderurl | http://people.tcd.ie/vogel | |
| dc.identifier.peoplefinderurl | http://people.tcd.ie/moreaue | |
| dc.identifier.rssinternalid | 222297 | |
| dc.identifier.doi | https://doi.org/10.18653/v1/2020.findings-emnlp.284 | |
| dc.rights.ecaccessrights | openAccess | |
| dc.subject.TCDTheme | Digital Engagement | en |
| dc.subject.TCDTheme | Digital Humanities | en |
| dc.subject.TCDTag | Computational Linguistics | en |
| dc.subject.TCDTag | Computational linguistics | en |
| dc.subject.TCDTag | Language Change | en |
| dc.subject.TCDTag | Language change | en |
| dc.subject.TCDTag | MACHINE LEARNING | en |
| dc.subject.TCDTag | Machine Learning in Mulitmedia Information Retrieval | en |
| dc.subject.TCDTag | computational linguistics | en |
| dc.subject.TCDTag | language evolution | en |
| dc.subject.TCDTag | signal processing and machine learning | en |
| dc.identifier.rssuri | https://www.aclweb.org/anthology/2020.findings-emnlp.284 | |
| dc.identifier.orcid_id | 0000-0001-8928-8546 | |
| dc.status.accessible | N | en |
| dc.contributor.sponsor | Science Foundation Ireland (SFI) | en |
| dc.contributor.sponsorGrantNumber | 13/RC/2106 | en |
| dc.identifier.uri | http://hdl.handle.net/2262/94391 | |
