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	<pub:InProceedings rdf:about="http://ebiquity.umbc.edu/paper/html/id/693/Ebiquity-Paraphrase-and-Semantic-Similarity-in-Twitter-using-Skipgram">
		<rdfs:label><![CDATA[Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgram]]></rdfs:label>
		<pub:title><![CDATA[Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgram]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2015-06-04T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[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.]]></pub:abstract>
		<pub:pages><![CDATA[51-55]]></pub:pages>
		<pub:counter>1393</pub:counter>
		<pub:booktitle><![CDATA[Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)]]></pub:booktitle>
		<pub:publisher><![CDATA[Association for Computational Linguistics]]></pub:publisher>
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