PhD Fellow

Chandrakant Bothe

I am a researcher from the University of Hamburg. My working field spans from human-robot interaction to computation linguistics to artificial intelligence.

In humans the concepts of reasonable and safe actions can be taught directly via natural language. In this project we will develop an understanding of explicit information from dialogues in natural language to infer and learn safe and unsafe concepts. In a conversation, humans use changes in a dialogue to predict safety-critical situations and use them to react accordingly. We propose to use the same cues for safer human-robot interaction for early verbal detection of dangerous situations. To achieve this goal, we use different language features, such as sentiment and dialogue act. We developed the neural models that learn to predict the sentiment of next upcoming utterance and to recognize the dialogue act of that utterance. Currently, we aim to bind them in a way to achieve our primary goal.

Keywords: Natural Language Processing, Human-Robot Interaction, Sentiment Analysis, Dialogue Act Processing

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