SSN_MLRG1 at SemEval-2022 Task 10: Structured Sentiment Analysis using 2-layer BiLSTM
Karun Anantharaman, Divyasri K, Jayannthan Pt, Angel S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, Mirnalinee T T
Abstract
Task 10 in SemEval 2022 is a composite task which entails analysis of opinion tuples, and recognition and demarcation of their nature. In this paper, we will elaborate on how such a methodology is implemented, how it is undertaken for a Structured Sentiment Analysis, and the results obtained thereof. To achieve this objective, we have adopted a bi-layered BiLSTM approach. In our research, a variation on the norm has been effected towards enhancement of accuracy, by basing the categorization meted out to an individual member as a by-product of its adjacent members, using specialized algorithms to ensure the veracity of the output, which has been modelled to be the holistically most accurate label for the entire sequence. Such a strategy is superior in terms of its parsing accuracy and requires less time. This manner of action has yielded an SF1 of 0.33 in the highest-performing configuration.- Anthology ID:
- 2022.semeval-1.184
- 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:
- 1324–1328
- Language:
- URL:
- https://aclanthology.org/2022.semeval-1.184
- DOI:
- 10.18653/v1/2022.semeval-1.184
- Cite (ACL):
- Karun Anantharaman, Divyasri K, Jayannthan Pt, Angel S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, and Mirnalinee T T. 2022. SSN_MLRG1 at SemEval-2022 Task 10: Structured Sentiment Analysis using 2-layer BiLSTM. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 1324–1328, Seattle, United States. Association for Computational Linguistics.
- Cite (Informal):
- SSN_MLRG1 at SemEval-2022 Task 10: Structured Sentiment Analysis using 2-layer BiLSTM (Anantharaman et al., SemEval 2022)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2022.semeval-1.184.pdf
- Data
- MPQA Opinion Corpus