SemEval-2023 Task 11: Learning With Disagreements (LeWiDi)
dc.contributor.author | Leonardelli, E | en_US |
dc.contributor.author | Uma, A | en_US |
dc.contributor.author | Abercrombie, G | en_US |
dc.contributor.author | Almanea, D | en_US |
dc.contributor.author | Basile, V | en_US |
dc.contributor.author | Fornaciari, T | en_US |
dc.contributor.author | Plank, B | en_US |
dc.contributor.author | Rieser, V | en_US |
dc.contributor.author | Poesio, M | en_US |
dc.date.accessioned | 2024-04-02T13:52:19Z | |
dc.date.issued | 2023-04-28 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/95850 | |
dc.relation.ispartof | arXiv | en_US |
dc.subject | Clinical Research | en_US |
dc.subject | Networking and Information Technology R&D (NITRD) | en_US |
dc.title | SemEval-2023 Task 11: Learning With Disagreements (LeWiDi) | en_US |
dc.rights.holder | © 2023 Personal by ACL | |
dc.identifier.doi | 10.48550/arxiv.2304.14803 | en_US |
pubs.notes | Not known | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
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