Search Results for author: Chandrakant Bothe

Found 8 papers, 4 papers with code

Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts

no code implementations LREC 2022 Chandrakant Bothe, Stefan Wermter

One of the fundamental cues is politeness, which linguistically possesses properties such as social manners useful in conversational analysis.

Emotional Dialogue Acts

Polite Emotional Dialogue Acts for Conversational Analysis in Daily Dialog Data

no code implementations27 Dec 2021 Chandrakant Bothe

Many socio-linguistic cues are used in the conversational analysis, such as emotion, sentiment, and dialogue acts.

Emotional Dialogue Acts

Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robots

no code implementations19 Sep 2018 Chandrakant Bothe, Fernando Garcia, Arturo Cruz Maya, Amit Kumar Pandey, Stefan Wermter

Service robots need to show appropriate social behaviour in order to be deployed in social environments such as healthcare, education, retail, etc.

Navigate Test

Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs

1 code implementation29 Jun 2018 Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter

Spoken language understanding is one of the key factors in a dialogue system, and a context in a conversation plays an important role to understand the current utterance.

Spoken Language Understanding

GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection

no code implementations30 Mar 2018 Egor Lakomkin, Chandrakant Bothe, Stefan Wermter

Given the text of a tweet and its emotion category (anger, joy, fear, and sadness), the participants were asked to build a system that assigns emotion intensity values.

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