WVOQ at SemEval-2021 Task 6: BART for Span Detection and Classification

Cees Roele


Abstract
Simultaneous span detection and classification is a task not currently addressed in standard NLP frameworks. The present paper describes why and how an EncoderDecoder model was used to combine span detection and classification to address subtask 2 of SemEval-2021 Task 6.
Anthology ID:
2021.semeval-1.32
Volume:
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | IJCNLP | SemEval
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
270–274
Language:
URL:
https://aclanthology.org/2021.semeval-1.32
DOI:
10.18653/v1/2021.semeval-1.32
Bibkey:
Cite (ACL):
Cees Roele. 2021. WVOQ at SemEval-2021 Task 6: BART for Span Detection and Classification. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pages 270–274, Online. Association for Computational Linguistics.
Cite (Informal):
WVOQ at SemEval-2021 Task 6: BART for Span Detection and Classification (Roele, SemEval 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.semeval-1.32.pdf
Code
 ceesroele/SemEval-2021-Task-6