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- W4385571193 abstract "Cross-domain aspect-based sentiment analysis (ABSA) aims to perform various fine-grained sentiment analysis tasks on a target domain by transferring knowledge from a source domain. Since labeled data only exists in the source domain, a model is expected to bridge the domain gap for tackling cross-domain ABSA. Though domain adaptation methods have proven to be effective, most of them are based on a discriminative model, which needs to be specifically designed for different ABSA tasks. To offer a more general solution, we propose a unified bidirectional generative framework to tackle various cross-domain ABSA tasks. Specifically, our framework trains a generative model in both text-to-label and label-to-text directions. The former transforms each task into a unified format to learn domain-agnostic features, and the latter generates natural sentences from noisy labels for data augmentation, with which a more accurate model can be trained. To investigate the effectiveness and generality of our framework, we conduct extensive experiments on four cross-domain ABSA tasks and present new state-of-the-art results on all tasks. Our data and code are publicly available at https://github.com/DAMO-NLP-SG/BGCA." @default.
- W4385571193 created "2023-08-05" @default.
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- W4385571193 date "2023-01-01" @default.
- W4385571193 modified "2023-10-16" @default.
- W4385571193 title "Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis" @default.
- W4385571193 doi "https://doi.org/10.18653/v1/2023.acl-long.686" @default.
- W4385571193 hasPublicationYear "2023" @default.
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