Round Corner
Department of Computer and Information Science


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.



Krisztian Balog Krisztian Balog
Adjunct Professor
248 IT-bygget
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