A Survey of Deep Learning Methods for Relation Extraction

May 10, 2017 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Survey of Deep Learning Methods for Relation Extraction"

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Authors Shantanu Kumar arXiv ID 1705.03645 Category cs.CL: Computation & Language Citations 121 Venue arXiv.org Last Checked 1 day ago
Abstract
Relation Extraction is an important sub-task of Information Extraction which has the potential of employing deep learning (DL) models with the creation of large datasets using distant supervision. In this review, we compare the contributions and pitfalls of the various DL models that have been used for the task, to help guide the path ahead.
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