Description Based Text Classification with Reinforcement Learning

Wei Wu
Duo Chai
Qinghong Han

international conference on machine learning, 2020.

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Inspired by the current trend of formalizing NLP problems as question answering tasks, we propose a new framework for text classification, in which each category label is associated with a category description

Abstract:

The task of text classification is usually divided into two stages: {\it text feature extraction} and {\it classification}. In this standard formalization categories are merely represented as indexes in the label vocabulary, and the model lacks for explicit instructions on what to classify. Inspired by the current trend of formalizing NLP...More

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