Jayannthan Pt
2022
SSN_MLRG1 at SemEval-2022 Task 10: Structured Sentiment Analysis using 2-layer BiLSTM
Karun Anantharaman
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Divyasri K
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Jayannthan Pt
|
Angel S
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Rajalakshmi Sivanaiah
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Sakaya Milton Rajendram
|
Mirnalinee T T
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
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.
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Co-authors
- Karun Anantharaman 1
- Divyasri K 1
- Angel S 1
- Rajalakshmi Sivanaiah 1
- Sakaya Milton Rajendram 1
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