dc.contributor.author | Lee, Ji Young | |
dc.contributor.author | Dernoncourt, Franck | |
dc.contributor.author | Szolovits, Peter | |
dc.date.accessioned | 2020-03-30T19:41:49Z | |
dc.date.available | 2020-03-30T19:41:49Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 978-1-945626-55-5 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/124431 | |
dc.description.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. Artificial neural networks have recently been 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). ©2017 | en_US |
dc.language.iso | en | |
dc.publisher | Association for Computational Linguistics | en_US |
dc.relation.isversionof | http://dx.doi.org/10.18653/v1/s17-2171 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | arXiv | en_US |
dc.title | MIT at SemEval-2017 task 10: relation extraction with convolutional neural networks | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Lee, Ji Young, Franck Dernoncourt, and Peter Szolovits, "MIT at SemEval-2017 task 10: relation extraction with convolutional neural networks." Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), August 3-4, 2017, Vancouver, Canada (Stroudsburg, PA: Association for Computational Linguistics, 2017): p. 978-84 doi http://dx.doi.org/10.18653/v1/s17-2171 ©2017 Author(s) | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.relation.journal | Proceedings of the 11th International Workshop on Semantic Evaluation (Sem-Eval 2017) | en_US |
dc.eprint.version | Original manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2019-07-10T17:16:35Z | |
dspace.date.submission | 2019-07-10T17:16:36Z | |
mit.metadata.status | Complete | |