POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling

@article{Liu2021POSSCOREAS,
  title={POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling},
  author={Zeyang Liu and Ke Zhou and Jiaxin Mao and Max L. Wilson},
  journal={Proceedings of the 30th ACM International Conference on Information \& Knowledge Management},
  year={2021}
}
  • Zeyang Liu, K. Zhou, Max L. Wilson
  • Published 7 September 2021
  • Computer Science
  • Proceedings of the 30th ACM International Conference on Information & Knowledge Management
Conversational search systems, such as Google Assistant and Microsoft Cortana, provide a new search paradigm where users are allowed, via natural language dialogues, to communicate with search systems. Evaluating such systems is very challenging since search results are presented in the format of natural language sentences. Given the unlimited number of possible responses, collecting relevance assessments for all the possible responses is infeasible. In this paper, we propose POSSCORE, a simple… 

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