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We explore using recursive autoencoders for SemEval 2015 Task 1: Paraphrase and Semantic Similarity in Twitter. Our paraphrase detection system makes use of phrase-structure parse tree embeddings that are then provided as input to a conventional supervised classification model. We achieve an F1 score of 0.45 on paraphrase identification and a Pearson correlation of 0.303 on computing semantic similarity.doi:10.18653/v1/s15-2008 dblp:conf/semeval/SundaramMP15 fatcat:kv6ty7gyrncv3dl4cioiydvv7q