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metric ID: modelinterpretability

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Knowledge Base Completion via Coupled Path Ranking

Authors: nan

Publication: TIPSTER (2016)

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Knowledge bases (KBs) are often greatly incomplete, necessitating a demand for K- B completion. The path ranking algorith- m (PRA) is one of the most promising ap- proaches to this …...

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Understanding Convolutional Neural Networks for Text Classification

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AbstractWe present an analysis into the inner workings of Convolutional Neural Networks (CNNs) for processing text. CNNs used for computer vision can be interpreted by projecting filters into image space, …...

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A Survey of the State of Explainable AI for Natural Language Processing

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AbstractRecent years have seen important advances in the quality of state-of-the-art models, but this has come at the expense of models becoming less interpretable. This survey presents an overview of …...

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Interpreting Language Models with Contrastive Explanations

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AbstractModel interpretability methods are often used to explain NLP model decisions on tasks such as text classification, where the output space is relatively small. However, when applied to language generation, …...

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