Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgram

Author/Creator ORCID

Date

2015-06-04

Department

Program

Citation of Original Publication

Taneeya W. Satyapanich, Hang W. Gao, and Tim Finin, Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgram, Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 51–55.https://ebiquity.umbc.edu/paper/html/id/693/Ebiquity-Paraphrase-and-Semantic-Similarity-in-Twitter-using-Skipgram

Rights

This 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.

Abstract

We describe the system we developed to participate in SemEval 2015 Task 1, Paraphrase and Semantic Similarity in Twitter. We create similarity vectors from two-skip trigrams of preprocessed tweets and measure their semantic similarity using our UMBC-STS system. We submitted two runs. The best result is ranked eleventh out of eighteen teams with F1 score of 0.599.