TY - GEN
T1 - SimpleScience
T2 - 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016
AU - Kim, Yea Seul
AU - Hullman, Jessica Ruth
AU - Burgess, Matthew
AU - Adar, Eytan
N1 - Funding Information:
Acknowledgments. This research was financially supported by the Ministry of Education, Science Technology (MEST) and National Research Foundation of Korea (NRF) through the Human Resource Training Project for Regional Innovation. We would like to thank several experts of aqua-life medicine in Eco Aquafarm Research center for collecting huge amount of information about fish diseases and drugs and for providing fish information service.
Publisher Copyright:
© 2016 Association for Computational Linguistics
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Lexical simplification of scientific terms represents a unique challenge due to the lack of a standard parallel corpora and fast rate at which vocabulary shift along with research. We introduce SimpleScience, a lexical simplification approach for scientific terminology. We use word embeddings to extract simplification rules from a parallel corpora containing scientific publications and Wikipedia. To evaluate our system we construct SimpleSciGold, a novel gold standard set for science-related simplifications. We find that our approach outperforms prior context-aware approaches at generating simplifications for scientific terms.
AB - Lexical simplification of scientific terms represents a unique challenge due to the lack of a standard parallel corpora and fast rate at which vocabulary shift along with research. We introduce SimpleScience, a lexical simplification approach for scientific terminology. We use word embeddings to extract simplification rules from a parallel corpora containing scientific publications and Wikipedia. To evaluate our system we construct SimpleSciGold, a novel gold standard set for science-related simplifications. We find that our approach outperforms prior context-aware approaches at generating simplifications for scientific terms.
UR - http://www.scopus.com/inward/record.url?scp=85030234148&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030234148&partnerID=8YFLogxK
U2 - 10.18653/v1/d16-1114
DO - 10.18653/v1/d16-1114
M3 - Conference contribution
AN - SCOPUS:85030234148
T3 - EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings
SP - 1066
EP - 1071
BT - EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings
PB - Association for Computational Linguistics (ACL)
Y2 - 1 November 2016 through 5 November 2016
ER -