TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla

Nazia Tasnim, Md. Istiak Shihab, Asif Shahriyar Sushmit, Steven Bethard, Farig Sadeque

Abstract
Many areas, such as the biological and healthcare domain, artistic works, and organization names, have nested, overlapping, discontinuous entity mentions that may even be syntactically or semantically ambiguous in practice. Traditional sequence tagging algorithms are unable to recognize these complex mentions because they may violate the assumptions upon which sequence tagging schemes are founded. In this paper, we describe our contribution to SemEval 2022 Task 11 on identifying such complex Named Entities. We have leveraged the ensemble of multiple ELECTRA-based models that were exclusively pretrained on the Bangla language with the performance of ELECTRA-based models pretrained on English to achieve competitive performance on the Track-11. Besides providing a system description, we will also present the outcomes of our experiments on architectural decisions, dataset augmentations, and post-competition findings.
Anthology ID:
2022.semeval-1.209
Volume:
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
Month:
July
Year:
2022
Address:
Seattle, United States
Venue:
SemEval
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
1524–1530
Language:
URL:
https://aclanthology.org/2022.semeval-1.209
DOI:
10.18653/v1/2022.semeval-1.209
Bibkey:
Cite (ACL):
Nazia Tasnim, Md. Istiak Shihab, Asif Shahriyar Sushmit, Steven Bethard, and Farig Sadeque. 2022. TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 1524–1530, Seattle, United States. Association for Computational Linguistics.
Cite (Informal):
TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla (Tasnim et al., SemEval 2022)
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PDF:
https://preview.aclanthology.org/auto-file-uploads/2022.semeval-1.209.pdf
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