Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval

@article{Aliannejadi2020HarnessingEO,
  title={Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval},
  author={Mohammad Aliannejadi and Manajit Chakraborty and Esteban Andr{\'e}s R{\'i}ssola and Fabio Crestani},
  journal={Proceedings of the 2020 Conference on Human Information Interaction and Retrieval},
  year={2020}
}
  • Mohammad Aliannejadi, Manajit Chakraborty, +1 author Fabio Crestani
  • Published in CHIIR 2020
  • Computer Science
  • Proceedings of the 2020 Conference on Human Information Interaction and Retrieval
  • With the improvements in speech recognition and voice generation technologies over the last years, a lot of companies have sought to develop conversation understanding systems that run on mobile phones or smart home devices through natural language interfaces. Conversational assistants, such as Google Assistant and Microsoft Cortana, can help users to complete various types of tasks. This requires an accurate understanding of the user's information need as the conversation evolves into multiple… CONTINUE READING

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