Papers with ABSA) task
Unsupervised Aspect-Level Sentiment Controllable Style Transfer (2020.aacl-main)
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| Challenge: | Unsupervised style transfer has been explored in text. |
| Approach: | They propose a system where aspect-level sentiments can be controlled at the output . they propose to use unsupervised techniques such as ABSA masked-language-modelling . |
| Outcome: | The proposed system is successful in controlling aspect-level sentiments. |
Source-free Domain Adaptation for Aspect-based Sentiment Analysis (2024.lrec-main)
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| Challenge: | Unsupervised Domain Adaptation (UDA) of the Aspect-based Sentiment Analysis task is a data mining technique that involves aspect extraction and aspect sentiment classification subtasks. |
| Approach: | They propose a framework that allows model parameter transfer, not data transfer, between different domains. |
| Outcome: | The proposed framework performs competitively with traditional unsupervised domain adaptation methods under privacy conditions. |