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Modeling Word Meaning in Context with Substitute Vectors.

, , and . HLT-NAACL, page 472-482. The Association for Computational Linguistics, (2015)

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Modeling Word Meaning in Context with Substitute Vectors., , and . HLT-NAACL, page 472-482. The Association for Computational Linguistics, (2015)Dotted interval graphs and high throughput genotyping., , , , and . SODA, page 339-348. SIAM, (2005)The Negochat Corpus of Human-agent Negotiation Dialogues., , , and . LREC, European Language Resources Association (ELRA), (2016)Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models., and . CoRR, (2019)Self-Normalization Properties of Language Modeling., and . COLING, page 764-773. Association for Computational Linguistics, (2018)context2vec: Learning Generic Context Embedding with Bidirectional LSTM., , and . CoNLL, page 51-61. ACL, (2016)A Simple Language Model based on PMI Matrix Approximations., , and . EMNLP, page 1860-1865. Association for Computational Linguistics, (2017)Automatic Generation of Challenging Distractors Using Context-Sensitive Inference Rules., and . BEA@ACL, page 143-148. The Association for Computer Linguistics, (2014)PMI Matrix Approximations with Applications to Neural Language Modeling., , and . CoRR, (2016)Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function., and . ACL (2), page 167-171. Association for Computational Linguistics, (2017)