RTM-DCU: Predicting Semantic Similarity with Referential Translation Machines Taneeya Satyapanich, Hang Gao and Tim Finin Mahalakshmi Shanumuga Sundaram, Anand Kumar Madasamy and Soman Kotti PadannayilĮbiquity: Paraphrase and Semantic Similarity in Twitter using Skipgrams Rob van der Goot and Gertjan van Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders ROB: Using Semantic Meaning to Recognize Paraphrases Ngoc Phuoc An Vo, Simone Magnolini and Octavian PopescuĮCNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter HLTC-HKUST: A Neural Network Paraphrase Classifier using Translation Metrics, Semantic Roles and Lexical Similarity FeaturesįBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter Helena Gomez, Darnes Vilariño, David Pinto and Grigori Sidorov Merkhofer and Laura StrickhartĬICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task Guido Zarrella, John Henderson, Elizabeth M. MITRE: Seven Systems for Semantic Similarity in Tweets Wei Xu, Chris Callison-Burch and Bill Dolan SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT) Torsten Zesch (University of Duisburg-Essen) Preslav Nakov (Qatar Computing Research Institute) Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) SemEval 2015 Proceedings Home | SemEval 2015 WEBSITE | NAACL 2015 WEBSITE | ACL WEBSITE
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