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Detecting Egregious Conversations between Customers and Virtual Agents.

, , , , , and . NAACL-HLT, page 1802-1811. Association for Computational Linguistics, (2018)

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Component-based performance modeling of a storage area network., , , , and . WSC, page 2417-2426. IEEE Computer Society, (2005)Bot2Vec: Learning Representations of Chatbots., , , and . *SEM@NAACL-HLT, page 75-84. Association for Computational Linguistics, (2019)Neural Response Generation for Customer Service based on Personality Traits., , , and . INLG, page 252-256. Association for Computational Linguistics, (2017)Detecting Egregious Conversations between Customers and Virtual Agents., , , , , and . NAACL-HLT, page 1802-1811. Association for Computational Linguistics, (2018)Exploring the Universe of Egregious Conversations in Chatbots., , , and . IUI Companion, page 16:1-16:2. ACM, (2018)On the Expression of Agent Emotions in Customer Support Dialogs in Social Media., , , and . IUI Companion, page 43:1-43:2. ACM, (2018)Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction., , , and . UMAP, page 211-215. ACM, (2019)EHCTool: Managing Emotional Hotspots for Conversational Agents., , , , and . IUI Companion, page 125-128. ACM, (2017)