TY - GEN
T1 - MayoClinicNLP–CORE
T2 - 2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013
AU - Wu, Stephen
AU - Zhu, Dongqing
AU - Carterette, Ben
AU - Liu, Hongfang
N1 - Publisher Copyright:
c 2013 Association for Computational Linguistics
PY - 2013
Y1 - 2013
N2 - The Semantic Textual Similarity (STS) task examines semantic similarity at a sentence-level. We explored three representations of semantics (implicit or explicit): named entities, semantic vectors, and structured vectorial semantics. From a DKPro baseline, we also performed feature selection and used source-specific linear regression models to combine our features. Our systems placed 5th, 6th, and 8th among 90 submitted systems.
AB - The Semantic Textual Similarity (STS) task examines semantic similarity at a sentence-level. We explored three representations of semantics (implicit or explicit): named entities, semantic vectors, and structured vectorial semantics. From a DKPro baseline, we also performed feature selection and used source-specific linear regression models to combine our features. Our systems placed 5th, 6th, and 8th among 90 submitted systems.
UR - http://www.scopus.com/inward/record.url?scp=84958230417&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958230417&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84958230417
T3 - *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
SP - 148
EP - 154
BT - *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
PB - Association for Computational Linguistics (ACL)
Y2 - 13 June 2013 through 14 June 2013
ER -