education

Education


Round Corner
Department of Computer and Information Science

Oppgaveforslag

Intent classification for conversational AI

Conversational agents, such as Apple’s SIRI, Amazon’s Alexa, or the Google Assistant are capable of handling a broad range of requests. In the context of such conversational AI systems, the objective of this project is to develop a machine learned classifier that determines the underlying intent of user utterances.
The project involves the following specific tasks:

  • Developing a categorization system of possible intents (e.g., requesting information, clarifying request, providing additional details, critiquing the system, stating/removing personal preferences, etc.)
  • Devising appropriate classification methods; both traditional feature-based and neural (deep learning) approaches might be explored.
  • Creating a data collection for training and evaluation.

 

Faglærer

Krisztian Balog Krisztian Balog
Adjunct Professor
248 IT-bygget
 
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