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

Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgram

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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.

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Association for Computational Linguistics

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UMBC ebiquity