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Hierarchical Interpretation of Neural Text Classification. (arXiv:2202.09792v3 [cs.CL] UPDATED)
cs.CL updates on arXiv.org arxiv.org
Recent years have witnessed increasing interests in developing interpretable
models in Natural Language Processing (NLP). Most existing models aim at
identifying input features such as words or phrases important for model
predictions. Neural models developed in NLP however often compose word
semantics in a hierarchical manner and text classification requires
hierarchical modelling to aggregate local information in order to deal with
topic and label shifts more effectively. As such, interpretation by words or
phrases only cannot faithfully explain model decisions …
arxiv classification hierarchical interpretation text text classification