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A distributional approach to the discourse connectives and its effect on fine-grained inferences

, and . The 28th CUNY Conference on Human Sentence Processing 2015, (2015)

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Uniform Information Density at the Level of Discourse Relations: Negation Markers and Discourse Connective Omission, and . IWCS 2015, page 118. (2015)Querying Word Embeddings for Similarity and Relatedness., , and . NAACL-HLT, page 675-684. Association for Computational Linguistics, (2018)A Discourse connector's distribution determines its interpretation, and . The 28th CUNY Conference on Human Sentence Processing 2015, (2015)Big Data and quality data for fake news and misinformation detection., and . Big Data Soc., 6 (1): 205395171984331 (January 2019)A distributional approach to the discourse connectives and its effect on fine-grained inferences, and . The 28th CUNY Conference on Human Sentence Processing 2015, (2015)An Artificial Language Evaluation of Distributional Semantic Models., and . CoNLL, page 134-142. Association for Computational Linguistics, (2017)An Information theoretic approach to production and comprehension of discourse markers. Saarland University, (2015)Discourse expectations raised by contrastive connectives, , , and . Conference on Discourse Expectations: Theoretical, Experimental, and Computational Perspectives (DETEC), (2015)Comparing Predictive and Co-occurrence Based Models of Lexical Semantics Trained on Child-directed Speech., , and . CogSci, cognitivesciencesociety.org, (2016)