MERE: A Deep Learning Architecture Using Multi-Fragment Ensemble for Relation Extraction

Hoang-Quynh Le, Duy-Cat Can


Anthology ID:
2024.paclic-1.26
Volume:
Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2024
Address:
Tokyo, Japan
Editors:
Nathaniel Oco, Shirley N. Dita, Ariane Macalinga Borlongan, Jong-Bok Kim
Venue:
PACLIC
SIG:
Publisher:
Tokyo University of Foreign Studies
Note:
Pages:
267–276
Language:
URL:
https://preview.aclanthology.org/moar-dois/2024.paclic-1.26/
DOI:
Bibkey:
Cite (ACL):
Hoang-Quynh Le and Duy-Cat Can. 2024. MERE: A Deep Learning Architecture Using Multi-Fragment Ensemble for Relation Extraction. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 267–276, Tokyo, Japan. Tokyo University of Foreign Studies.
Cite (Informal):
MERE: A Deep Learning Architecture Using Multi-Fragment Ensemble for Relation Extraction (Le & Can, PACLIC 2024)
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PDF:
https://preview.aclanthology.org/moar-dois/2024.paclic-1.26.pdf