Papers with full fusion of syntactic and contextual features
Hybrid of Spans and Table-Filling for Aspect-Level Sentiment Triplet Extraction (2024.lrec-main)
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| Challenge: | Aspect Sentiment Triplet Extraction (ASTE) is an emerging task in sentiment analysis research. |
| Approach: | They propose a model which combines span with table-filling to extract triplets from words . they use syntactic and contextual features to generate word-pair tables and convert them to span tables . |
| Outcome: | The proposed model achieves competitive results on a dataset with a large dataset. |