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Old Age
MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
April 05, 2017 ยท Declared Dead ยท ๐ International Workshop on Semantic Evaluation
"No code URL or promise found in abstract"
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Authors
Ji Young Lee, Franck Dernoncourt, Peter Szolovits
arXiv ID
1704.01523
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.NE,
stat.ML
Citations
37
Venue
International Workshop on Semantic Evaluation
Last Checked
4 months ago
Abstract
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, such as synonyms and hyponyms. Artificial neural networks have been recently explored for relation extraction. In this work, we continue this line of work and present a system based on a convolutional neural network to extract relations. Our model ranked first in the SemEval-2017 task 10 (ScienceIE) for relation extraction in scientific articles (subtask C).
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