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20182022
most citedConversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts

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cs.CL20221 cited

Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts

Chandrakant Bothe, Stefan Wermter

Many socio-linguistic cues are used in conversational analysis, such as emotion, sentiment, and dialogue acts. One of the fundamental cues is politeness, which linguistically posse…

cs.CL2019

EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators

Chandrakant Bothe, Cornelius Weber, Sven Magg +1

The recognition of emotion and dialogue acts enriches conversational analysis and help to build natural dialogue systems. Emotion interpretation makes us understand feelings and di…

cs.CL2018

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

Chandrakant Bothe, Sven Magg, Cornelius Weber +1

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. In this w…

cs.CL2018

Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks

Chandrakant Bothe, Sven Magg, Cornelius Weber +1

Recent approaches for dialogue act recognition have shown that context from preceding utterances is important to classify the subsequent one. It was shown that the performance impr…

cs.CL2018

A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks

Chandrakant Bothe, Cornelius Weber, Sven Magg +1

Dialogue act recognition is an important part of natural language understanding. We investigate the way dialogue act corpora are annotated and the learning approaches used so far.…

cs.CL2018

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

Egor Lakomkin, Chandrakant Bothe, Stefan Wermter

The WASSA 2017 EmoInt shared task has the goal to predict emotion intensity values of tweet messages. Given the text of a tweet and its emotion category (anger, joy, fear, and sadn…