Chandrakant Bothe
Chandrakant Bothe
Research Associate at Dept. of Computer Science, University of Hamburg
Verified email at - Homepage
TitleCited byYear
GradAscent at EmoInt-2017: Character-and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection
E Lakomkin, C Bothe, S Wermter
Workshop on Computational Approaches to Subjectivity, Sentiment and Social …, 2018
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks
C Bothe, C Weber, S Magg, S Wermter
Eleventh International Conference on Language Resources and Evaluation (LREC …, 2018
Discourse-wizard: discovering deep discourse structure in your conversation with RNNs
C Bothe, S Magg, C Weber, S Wermter
arXiv preprint arXiv:1806.11420, 2018
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks
C Bothe, S Magg, C Weber, S Wermter
Interspeech 2018, 2018
Dialogue-based neural learning to estimate the sentiment of a next upcoming utterance
C Bothe, S Magg, C Weber, S Wermter
International Conference on Artificial Neural Networks, 477-485, 2017
Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robots
C Bothe, F Garcia, A Cruz-Maya, AK Pandey, S Wermter
International Conference on Social Robotics 11357, 230-240, 2018
A Hybrid Planning Strategy through Learning from Vision for Target-directed Navigation
X Zhou, C Weber, C Bothe, S Wermter
The 27th International Conference on Artificial Neural Networks (ICANN 2018), 2018
MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues
C Bothe, S Wermter
Proceedings of the 13th International Workshop on Semantic Evaluation, 261-265, 2019
Human-Humanoid Interaction by Verbal Dialogue
Ecole Centrale de Nantes, France, 2015
Human-Humanoid Interaction by verbal dialogue : Nao humanoid robot with dialogue toolkit
C Bothe, J Lehuen, Y Aoustin
Journées Nationales de la Robotique Humanoïde (JNRH 2015), 14, 2015
Towards Language Learning for Safety during Human-Robot Social Interaction
C Bothe, S Magg, C Weber, S Wermter
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