Papers with cross-domain ABSA tasks

2 papers
Cross-Domain Review Generation for Aspect-Based Sentiment Analysis (2021.findings-acl)

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Challenge: Existing domain adaptation methods for Aspect-Based Sentiment Analysis lack finegrained labeled data.
Approach: They propose a new domain adaptation paradigm called cross-domain review generation which aims to generate target-domain reviews with fine-grained annotation based on the labeled source domain.
Outcome: The proposed approach is superior to state-of-the-art domain adaptation methods.
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis (2023.acl-long)

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Challenge: Aspect-based sentiment analysis (ABSA) is a task of analyzing people's sentiments at the aspect level.
Approach: They propose a unified bidirectional generative framework to tackle cross-domain ABSA tasks . the framework trains a model in both text-to-label and label-totext directions .
Outcome: The proposed framework trains a model in both label-to-label and label- to-text directions to learn domain-agnostic features.

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