Autores
Gelbukh Alexander
Título SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity
Tipo Congreso
Sub-tipo Memoria
Descripción SEM 2013: The Second Joint Conference on Lexical and Computational Semantics
Resumen 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.
Observaciones Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
Lugar Atlanta, Giorgia
País Estados Unidos
No. de páginas 194–201
Vol. / Cap. 1
Inicio 2013-06-13
Fin 2013-06-14
ISBN/ISSN 978-1-937284-48-0