UMBC ebiquity

Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgram

Authors: Taneeya W. Satyapanich, Hang W. Gao, and Tim Finin

Book Title: Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

Date: June 04, 2015

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.

Type: InProceedings

Publisher: Association for Computational Linguistics

Pages: 51-55

Google Scholar: search

Number of downloads: 445


Available for download as

size: 362828 bytes