Aspect-augmented Adversarial Networks for Domain Adaptation
نویسندگان
چکیده
منابع مشابه
Aspect-augmented Adversarial Networks for Domain Adaptation
We introduce a neural method for transfer learning between two (source and target) classification tasks or aspects over the same domain. Rather than training on target labels, we use a few keywords pertaining to source and target aspects indicating sentence relevance instead of document class labels. Documents are encoded by learning to embed and softly select relevant sentences in an aspect-de...
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ژورنال
عنوان ژورنال: Transactions of the Association for Computational Linguistics
سال: 2017
ISSN: 2307-387X
DOI: 10.1162/tacl_a_00077