"What is relevant in a text document?": An interpretable machine learning approach

Author:

Arras Leila,Horn Franziska,Montavon Grégoire,Müller Klaus-Robert,Samek WojciechORCID

Funder

German Ministry for Education and Research

National Research Foundation of Korea

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference40 articles.

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2. A Vector Space Model for Automatic Indexing;G Salton;Communications of the ACM,1975

3. Hasan KS, Ng V. Conundrums in Unsupervised Keyphrase Extraction: Making Sense of the State-of-the-Art. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters (COLING); 2010. p. 365–373.

4. Mining Text Data;CC Aggarwal,2012

5. Mikolov T, Sutskever I, Chen K, Corrado G, Dean J. Distributed Representations of Words and Phrases and their Compositionality. In: Advances in Neural Information Processing Systems 26 (NIPS); 2013. p. 3111–3119.

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