MIN Faculty
Department of Informatics
Knowledge Technology

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This webpage is outdated and has moved. Please find the official Knowledge Technology page at:

https://www.inf.uni-hamburg.de/en/inst/ab/wtm/

Chandrakant Bothe

Research Associate at Knowledge Technology Group (WTM)

Contact Info

Address University of Hamburg
Department of Informatics
Vogt Kölln Str. 30
22527 Hamburg, Germany
Office: F-225
Phone: +49 40 428 83 2395
Fax: +49 40 428 83 2515

Research Interests


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Projects

Short Curriculum Vitae

  • Since March 2016: Research Associate (PhD Student: SECURE Project) at Knowledge Technology Research Group, Department of Computer Science, University of Hamburg, Germany.
  • Qualification:
    • September 2015: Master in "Robotics and Applied Informatics", Ecole Centrale de Nantes, Nantes, France.
      Thesis Title: "Human-Humanoid Interaction by Verbal Dialogues"
    • June 2011: Bachelor of Enggineering in "Electronics and Tele-Communication", Aunradha Engg. College, Chikhli. Amravati University (MS), India.

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Publications

Bothe, C., Weber, C., Magg, and Wermter, S., (accepted, ID 525) A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks. In the Proceedings of Language Resources and Evaluation Conference (LREC-2018), 2018.

 

Bothe, C., Magg, S., Weber, C., and Wermter, S. Dialogue-based Neural Learning to Estimate Sentiment of Next-upcoming Utterance. In the Proceedings of the 26th International Conference on Artificial Neural Networks (ICANN-2017), 2017.

 

Lakomkin, E., Bothe, C., and Wermter, S. GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection. In the Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis at EMNLP-2017. Association for Computational Linguistics, 2017.

 


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Workshops, school and other participations