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Session 1 - Word-Level Semantics

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  Generating Sentences from a Continuous Space Authors: Samuel R. Bowman1, Luke Vilnis2, Oriol Vinyals3, Andrew Dai4, Rafal Jozefowicz4, Samy Bengio
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  Identifying Temporal Orientation of Word Senses Authors: Mohammed Hasanuzzaman1, Gaël Dias2, Stéphane Ferrari2, Yann Mathet2, Andy Way
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  Semi-supervised Clustering for Short Text via Deep Representation Learning Authors: Zhiguo Wang, Haitao Mi, Abraham Ittycheriah
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  Neighborhood Mixture Model for Knowledge Base Completion Authors: Dat Quoc Nguyen1, Kairit Sirts1, Lizhen Qu2, Mark Johnson
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Session 2 - Sentence-Level Semantics

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  Learning to Jointly Predict Ellipsis and Comparison Structures Authors: Omid Bakhshandeh1, Alexis Cornelia Wellwood2, James Allen
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  context2vec: Learning Generic Context Embedding with Bidirectional LSTM Authors: Oren Melamud1, Jacob Goldberger2, Ido Dagan
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  Event Embeddings for Semantic Script Modeling Authors: Ashutosh Modi
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  Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization Authors: Markus Zopf1, Eneldo Loza Mencía2, Johannes Fürnkranz
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Session 3 - Human Language Processing

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  Incremental Prediction of Sentence-final Verbs: Humans versus Machines Authors: Alvin Grissom II1, Naho Orita2, Jordan Boyd-Graber
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  A Data-driven Investigation of Corrective Feedback on Subject Omission Errors in First Language Acquisition Authors: Sarah Hiller and Raquel Fernandez
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  Redefining part-of-speech classes with distributional semantic models Authors: Andrey Kutuzov, Erik Velldal, Lilja Øvrelid
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  Analyzing Learner Understanding of Novel L2 Vocabulary Authors: Rebecca Knowles, Adithya Renduchintala, Philipp Koehn, Jason Eisner
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  Modeling language evolution with codes that utilize context and phonetic features Authors: Javad Nouri and Roman Yangarber
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