Han, LushanKashyap, Abhay L.Finin, TimMayfield, JamesWeese, Johnathan2018-11-052018-11-052013-06-13Lushan Han, Abhay L. Kashyap, Tim Finin, James Mayfield, and Johnathan Weese, UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems, Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013.http://hdl.handle.net/11603/11852Proceedings of the Second Joint Conference on Lexical and Computational SemanticsWe describe three semantic text similarity systems developed for the *SEM 2013 STS shared task and the results of the corresponding three runs. All of them used a word similarity feature that combined LSA word similarity and WordNet knowledge. The first run, which achieved the top mean score on the task of all the submissions, used a simple term alignment algorithm. The other two runs, ranked second and fourth, used SVM models to combine a larger sets of features.9 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.languagenatural language processingsemanticsUMBC Ebiquity Research GroupText