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
- Editors:
- Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1524–1530
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2022.semeval-1.209/
- DOI:
- 10.18653/v1/2022.semeval-1.209
- 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)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2022.semeval-1.209.pdf
- Data
- MultiCoNER