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Dialogue Scenario Collection of Persuasive Dialogue with Emotional Expressions via Crowdsourcing
Existing dialogue data collection methods such as the Wizard of Oz method (WoZ) or real dialogue recording are costly, and they prevent launching a new dialogue system. In this study, …...
An Emotional Mess! Deciding on a Framework for Building a Dutch Emotion-Annotated Corpus
AbstractSeeing the myriad of existing emotion models, with the categorical versus dimensional opposition the most important dividing line, building an emotion-annotated corpus requires some well thought-out strategies concerning framework choice. …...
CEASE, a Corpus of Emotion Annotated Suicide notes in English
AbstractA suicide note is usually written shortly before the suicide and it provides a chance to comprehend the self-destructive state of mind of the deceased. From a psychological point of …...
Sentiment Analysis for Emotional Speech Synthesis in a News Dialogue System
AbstractAs smart speakers and conversational robots become ubiquitous, the demand for expressive speech synthesis has increased. In this paper, to control the emotional parameters of the speech synthesis according to …...
A Large-Scale Dataset for Empathetic Response Generation
AbstractRecent development in NLP shows a strong trend towards refining pre-trained models with a domain-specific dataset. This is especially the case for response generation where emotion plays an important role. …...
A Multimodal Corpus for Emotion Recognition in Sarcasm
AbstractWhile sentiment and emotion analysis have been studied extensively, the relationship between sarcasm and emotion has largely remained unexplored. A sarcastic expression may have a variety of underlying emotions. For …...
EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues
AbstractThe long-standing goal of Artificial Intelligence (AI) has been to create human-like conversational systems. Such systems should have the ability to develop an emotional connection with the users, consequently, emotion …...