PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings
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Xiao Zhang | Chang Li | Dan Goldwasser | Mahak Goindani | Kristen Johnson | Di Jin | I-Ta Lee | Maria Leonor Pacheco
[1] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[2] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[3] Kevin Gimpel,et al. Towards Universal Paraphrastic Sentence Embeddings , 2015, ICLR.
[4] Xiao Zhang,et al. Adapting Event Embedding for Implicit Discourse Relation Recognition , 2016, CoNLL Shared Task.
[5] Christopher D. Manning,et al. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks , 2015, ACL.
[6] Eneko Agirre,et al. SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation , 2017, *SEMEVAL.
[7] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[8] Nathanael Chambers,et al. Unsupervised Learning of Narrative Event Chains , 2008, ACL.
[9] Raymond J. Mooney,et al. Learning Statistical Scripts with LSTM Recurrent Neural Networks , 2016, AAAI.
[10] Kevin Gimpel,et al. From Paraphrase Database to Compositional Paraphrase Model and Back , 2015, Transactions of the Association for Computational Linguistics.
[11] Chris Callison-Burch,et al. PPDB: The Paraphrase Database , 2013, NAACL.
[12] Chris Callison-Burch,et al. PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification , 2015, ACL.
[13] Stephen Clark,et al. What Happens Next? Event Prediction Using a Compositional Neural Network Model , 2016, AAAI.
[14] Mihai Surdeanu,et al. The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.