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ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis

Xinyu Lu, Mengjie Ren, Yaojie Lu, Hongyu Lin


Abstract
ISCAS participated in both sub-tasks in SemEval-2022 Task 10: Structured Sentiment competition. We design an extraction-validation pipeline architecture to tackle both monolingual and cross-lingual sub-tasks. Experimental results show the multilingual effectiveness and cross-lingual robustness of our system. Our system is openly released on: https://github.com/luxinyu1/SemEval2022-Task10/.
Anthology ID:
2022.semeval-1.182
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:
1305–1312
Language:
URL:
https://aclanthology.org/2022.semeval-1.182
DOI:
10.18653/v1/2022.semeval-1.182
Bibkey:
Cite (ACL):
Xinyu Lu, Mengjie Ren, Yaojie Lu, and Hongyu Lin. 2022. ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 1305–1312, Seattle, United States. Association for Computational Linguistics.
Cite (Informal):
ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis (Lu et al., SemEval 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.semeval-1.182.pdf
Code
 luxinyu1/semeval2022-task10
Data
MPQA Opinion Corpus