MIT at SemEval-2017 task 10: relation extraction with convolutional neural networks

Over 50 million scholarly articles have been published: they constitute a unique repository of knowledge. In particular, one may infer from them relations between scientific concepts. Artificial neural networks have recently been explored for relation extraction. In this work, we continue this line...

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Bibliographic Details
Main Authors: Lee, Ji Young, Dernoncourt, Franck, Szolovits, Peter
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Association for Computational Linguistics 2020
Online Access:https://hdl.handle.net/1721.1/124431