TY - GEN
T1 - SOFTCARDINALITY-CORE
T2 - 2nd Joint Conference on Lexical and Computational Semantics, SEM 2013
AU - Jimenez, Sergio
AU - Becerra, Claudia
AU - Gelbukh, Alexander
N1 - Publisher Copyright:
©2013 Association for Computational Linguistics.
PY - 2013
Y1 - 2013
N2 - Soft cardinality has been shown to be a very strong text-overlapping baseline for the task of measuring semantic textual similarity (STS), obtaining 3rd place in SemEval-2012. At ∗SEM-2013 shared task, beside the plain textoverlapping approach, we tested within soft cardinality two distributional word-similarity functions derived from the ukWack corpus. Unfortunately, we combined these measures with other features using regression, obtaining positions 18th, 22nd and 23rd among the 90 participants systems in the official ranking. Already after the release of the gold standard annotations of the test data, we observed that using only the similarity measures without combining them with other features would have obtained positions 6th, 7th and 8th; moreover, an arithmetic average of these similarity measures would have been 4th(mean=0.5747). This paper describes both the 3 systems as they were submitted and the similarity measures that would obtained those better results.
AB - Soft cardinality has been shown to be a very strong text-overlapping baseline for the task of measuring semantic textual similarity (STS), obtaining 3rd place in SemEval-2012. At ∗SEM-2013 shared task, beside the plain textoverlapping approach, we tested within soft cardinality two distributional word-similarity functions derived from the ukWack corpus. Unfortunately, we combined these measures with other features using regression, obtaining positions 18th, 22nd and 23rd among the 90 participants systems in the official ranking. Already after the release of the gold standard annotations of the test data, we observed that using only the similarity measures without combining them with other features would have obtained positions 6th, 7th and 8th; moreover, an arithmetic average of these similarity measures would have been 4th(mean=0.5747). This paper describes both the 3 systems as they were submitted and the similarity measures that would obtained those better results.
UR - http://www.scopus.com/inward/record.url?scp=85123733538&partnerID=8YFLogxK
M3 - Contribución a la conferencia
AN - SCOPUS:85123733538
T3 - SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
SP - 194
EP - 201
BT - SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task
A2 - Diab, Mona
A2 - Baldwin, Tim
A2 - Baroni, Marco
PB - Association for Computational Linguistics (ACL)
Y2 - 13 June 2013 through 14 June 2013
ER -