Ebiquity: Paraphrase and Semantic Similarity in Twitter using SkipgramTweet
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.
Publisher: Association for Computational Linguistics
Google Scholar: search
Number of downloads: 326
Available for download as