Polite Emotional Dialogue Acts for Conversational Analysis in Daily Dialog Data
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Abstract (arXiv)
Many socio-linguistic cues are used in the conversational analysis, such as emotion, sentiment, and dialogue acts. One of the fundamental social cues is politeness, which linguistically possesses properties useful in conversational analysis. This short article presents some of the brief findings of polite emotional dialogue acts, where we can correlate the relational bonds between these socio-linguistics cues. We found that the utterances with emotion classes Anger and Disgust are more likely to be impolite while Happiness and Sadness to be polite. Similar phenomenon occurs with dialogue acts, Inform and Commissive contain many polite utterances than Question and Directive. Finally, we will conclude on the future work of these findings.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 17 references that are in the map. First posted on arXiv 27 Dec 2021.
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References · 9
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2017DailyDialog: A Manually Labelled Multi-turn Dialogue Datasetcited by 652
- 2013A Computational Approach to Politeness with Application to Social Factorscited by 106
- 2021Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversationscited by 20
- 2016Interpreting Neural Networks to Improve Politeness Comprehensioncited by 12
- 2019EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotatorscited by 5
- 2018Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robotscited by 3
- 2018GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detectioncited by 2
- 2018Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNscited by 2
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