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Using Interpretation Methods for Model Enhancement
April 3, 2024, 4:47 a.m. | Zhuo Chen, Chengyue Jiang, Kewei Tu
cs.CL updates on arXiv.org arxiv.org
Abstract: In the age of neural natural language processing, there are plenty of works trying to derive interpretations of neural models. Intuitively, when gold rationales exist during training, one can additionally train the model to match its interpretation with the rationales. However, this intuitive idea has not been fully explored. In this paper, we propose a framework of utilizing interpretation methods and gold rationales to enhance models. Our framework is very general in the sense that …
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