Chandrakant Bothe

Orcid: 0000-0002-3492-6608

According to our database1, Chandrakant Bothe authored at least 13 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021
Polite Emotional Dialogue Acts for Conversational Analysis in Daily Dialog Data.
CoRR, 2021

2020
Conversational Language Learning for Human-Robot Interaction.
PhD thesis, 2020

EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019
Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators.
CoRR, 2019

MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

2018
Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs.
CoRR, 2018

Towards Dialogue-Based Navigation with Multivariate Adaptation Driven by Intention and Politeness for Social Robots.
Proceedings of the Social Robotics - 10th International Conference, 2018

A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks.
Proceedings of the Interspeech 2018, 2018

A Hybrid Planning Strategy Through Learning from Vision for Target-Directed Navigation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017


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