UMCC_DLSI: multidimensional lexical-semantic textual similarity
AF Orquín, Y Gutiérrez, H Dávila… - * SEM 2012: The First …, 2012 - aclanthology.org
This paper describes the specifications and results of UMCC_DLSI system, which
participated in the first Semantic Textual Similarity task (STS) of SemEval-2012. Our
supervised system uses different kinds of semantic and lexical features to train classifiers
and it uses a voting process to select the correct option. Related to the different features we
can highlight the resource ISR-WN1 used to extract semantic relations among words and the
use of different algorithms to establish semantic and lexical similarities. In order to establish …
participated in the first Semantic Textual Similarity task (STS) of SemEval-2012. Our
supervised system uses different kinds of semantic and lexical features to train classifiers
and it uses a voting process to select the correct option. Related to the different features we
can highlight the resource ISR-WN1 used to extract semantic relations among words and the
use of different algorithms to establish semantic and lexical similarities. In order to establish …
[引用][C] UMCC_DLSI: Multidimensional Lexical-Semantic Textual Similarity.{* SEM 2012}: The First Joint Conference on Lexical and Computational Semantics--Volume …
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