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Dialogue in the Wild: Learning from a Deployed Role-Playing Game with Humans and Bots ...
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I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling ...
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Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution
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Abstract:
We introduce a simple, non-linear mention-ranking model for coreference resolution that attempts to learn distinct feature representations for anaphoricity detection and antecedent ranking, which we encourage by pre-training on a pair of corresponding subtasks. Although we use only simple, unconjoined features, the model is able to learn useful representations, and we report the best overall score on the CoNLL 2012 English test set to date. ; Engineering and Applied Sciences ; Accepted Manuscript
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URL: https://doi.org/10.3115/v1/p15-1137 http://nrs.harvard.edu/urn-3:HUL.InstRepos:24830901
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Open Question Answering with Weakly Supervised Embedding Models
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In: European Conference (ECML PKDD 2014) ; https://hal.archives-ouvertes.fr/hal-01344007 ; European Conference (ECML PKDD 2014), Sep 2014, nancy, France. pp.165-180, ⟨10.1007/978-3-662-44848-9_11⟩ (2014)
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Open Question Answering with Weakly Supervised Embedding Models ...
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Towards Understanding Situated Natural Language
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In: 13th International Conference on Artificial Intelligence and Statistics ; https://hal.archives-ouvertes.fr/hal-00750937 ; 13th International Conference on Artificial Intelligence and Statistics, May 2010, Chia Laguna Resort, Sardinia, Italy. pp.65-72 (2010)
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Large Scale Application of Neural Network Based Semantic Role Labeling for Automated Relation Extraction from Biomedical Texts
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