ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach

Raghav R, Adarsh Vemali, Rajdeep Mukherjee


Abstract
Structured Sentiment Analysis (SSA) deals with extracting opinion tuples in a text, where each tuple (h, e, t, p) consists of h, the holder, who expresses a sentiment polarity p towards a target t through a sentiment expression e. While prior works explore graph-based or sequence labeling-based approaches for the task, we in this paper present a novel unified generative method to solve SSA, a SemEval2022 shared task. We leverage a BART-based encoder-decoder architecture and suitably modify it to generate, given a sentence, a sequence of opinion tuples. Each generated tuple consists of seven integers respectively representing the indices corresponding to the start and end positions of the holder, target, and expression spans, followed by the sentiment polarity class associated between the target and the sentiment expression. We perform rigorous experiments for both Monolingual and Cross-lingual subtasks, and achieve competitive Sentiment F1 scores on the leaderboard in both settings.
Anthology ID:
2022.semeval-1.191
Volume:
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
Month:
July
Year:
2022
Address:
Seattle, United States
Venues:
NAACL | SemEval
SIGs:
SIGSEM | SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
1373–1381
Language:
URL:
https://aclanthology.org/2022.semeval-1.191
DOI:
10.18653/v1/2022.semeval-1.191
Bibkey:
Cite (ACL):
Raghav R, Adarsh Vemali, and Rajdeep Mukherjee. 2022. ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 1373–1381, Seattle, United States. Association for Computational Linguistics.
Cite (Informal):
ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach (R et al., SemEval 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.semeval-1.191.pdf
Code
 sherlock-jerry/ssa-semeval
Data
MPQA Opinion CorpusNoReC_fine