NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models.
IEEE Transactions on Visualization and Computer Graphics(2019)
摘要
With the recent advances in deep learning, neural network models have obtained state-of-the-art performances for many linguistic tasks in natural language processing. However, this rapid progress also brings enormous challenges. The opaque nature of a neural network model leads to hard-to-debug-systems and difficult-to-interpret mechanisms. Here, we introduce a visualization system that, through a...
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关键词
Natural languages,Task analysis,Neural networks,Visualization,Computational modeling,Analytical models,Predictive models
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