TY - GEN
T1 - A semantically enhanced approach to determine textual similarity
AU - Blanco, Eduardo
AU - Moldovan, Dan
N1 - Publisher Copyright:
© 2013 Association for Computational Linguistics.
PY - 2013
Y1 - 2013
N2 - This paper presents a novel approach to determine textual similarity. A layered methodology to transform text into logic forms is proposed, and semantic features are derived from a logic prover. Experimental results show that incorporating the semantic structure of sentences is beneficial. When training data is unavailable, scores obtained from the logic prover in an unsupervised manner outperform supervised methods.
AB - This paper presents a novel approach to determine textual similarity. A layered methodology to transform text into logic forms is proposed, and semantic features are derived from a logic prover. Experimental results show that incorporating the semantic structure of sentences is beneficial. When training data is unavailable, scores obtained from the logic prover in an unsupervised manner outperform supervised methods.
UR - http://www.scopus.com/inward/record.url?scp=84926339918&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84926339918&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84926339918
T3 - EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
SP - 1235
EP - 1245
BT - EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
PB - Association for Computational Linguistics (ACL)
T2 - 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013
Y2 - 18 October 2013 through 21 October 2013
ER -