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GreaseLM: Graph REASoning Enhanced Language Models for Question Answering ...
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Human-like informative conversations: Better acknowledgements using conditional mutual information ...
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ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts ...
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ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts ...
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Conditional probing: measuring usable information beyond a baseline ...
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Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering ...
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Human-like informative conversations: Better acknowledgements using conditional mutual information ...
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Abstract:
Read the paper on the folowing link: https://www.aclweb.org/anthology/2021.naacl-main.61/ Abstract: This work aims to build a dialogue agent that can weave new factual content into conversations as naturally as humans. We draw insights from linguistic principles of conversational analysis and annotate human-human conversations from the Switchboard Dialog Act Corpus to examine humans strategies for acknowledgement, transition, detail selection and presentation. When current chatbots (explicitly provided with new factual content) introduce facts into a conversation, their generated responses do not acknowledge the prior turns. This is because models trained with two contexts - new factual content and conversational history - generate responses that are non-specific w.r.t. one of the contexts, typically the conversational history. We show that specificity w.r.t. conversational history is better captured by Pointwise Conditional Mutual Information (pcmih) than by the established use of Pointwise Mutual ...
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URL: https://underline.io/lecture/19855-human-like-informative-conversations-better-acknowledgements-using-conditional-mutual-information https://dx.doi.org/10.48448/knbp-hd43
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Biomedical and clinical English model packages for the Stanza Python NLP library
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In: J Am Med Inform Assoc (2021)
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Stanza: A Python Natural Language Processing Toolkit for Many Human Languages ...
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Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ...
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Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation ...
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Finding Universal Grammatical Relations in Multilingual BERT ...
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