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April 1, 20260 citationsOpen Access

COPWA at the NTCIR-18 FairWeb-2 Task

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ARAmogh RainaTSTetsuya Sakai

Key Points

  • The aim was to develop a system that retrieves relevant entities while ensuring fairness in conversations.
  • Developed the COPWA system for conversational entity retrieval.
  • Focused on topics related to researchers, movies, and YouTube content.
  • Used the GFRC framework to evaluate performance.
  • Demonstrated a balance between conversational relevance and group fairness.
  • Evaluated using the GFRC framework, showing promising performance metrics.

Abstract

This paper describes our participation in the Conversational Search Subtask of the FairWeb-2 Task at NTCIR-18. Our system, COPWA, was designed to balance conversational relevance and group fair ness while retrieving entities from researcher, movie, and YouTube content topics. We detail our approach, evaluation results, and analysis of our system’s performance using the GFRC (Group Fairness and Relevance of Conversations) framework.

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Cite This Study

Raina et al. (2025) studied this question.

synapsesocial.com/papers/69cd7ab35652765b073a8062https://doi.org/10.20736/0002002034
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