TY - GEN
T1 - DLS@CU at SemEval-2016 task 1
T2 - 10th International Workshop on Semantic Evaluation, SemEval 2016
AU - Sultan, Md Arafat
AU - Bethard, Steven
AU - Sumner, Tamara
N1 - Publisher Copyright:
© 2016 Association for Computational Linguistics.
PY - 2016
Y1 - 2016
N2 - We describe a set of systems submitted to the SemEval-2016 English Semantic Textual Similarity (STS) task. Given two English sentences, the task is to compute the degree of their semantic similarity. Each of our systems uses the SemEval 2012-2015 STS datasets to train a ridge regression model that combines different measures of similarity. Our best system demonstrates 73.6% correlation with average human annotations across five test sets.
AB - We describe a set of systems submitted to the SemEval-2016 English Semantic Textual Similarity (STS) task. Given two English sentences, the task is to compute the degree of their semantic similarity. Each of our systems uses the SemEval 2012-2015 STS datasets to train a ridge regression model that combines different measures of similarity. Our best system demonstrates 73.6% correlation with average human annotations across five test sets.
UR - http://www.scopus.com/inward/record.url?scp=85035775083&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85035775083&partnerID=8YFLogxK
U2 - 10.18653/v1/s16-1099
DO - 10.18653/v1/s16-1099
M3 - Conference contribution
AN - SCOPUS:85035775083
T3 - SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings
SP - 650
EP - 655
BT - SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings
PB - Association for Computational Linguistics (ACL)
Y2 - 16 June 2016 through 17 June 2016
ER -