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Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems (2212.09180v3)

Published 18 Dec 2022 in cs.CL

Abstract: Despite tremendous advancements in dialogue systems, stable evaluation still requires human judgments producing notoriously high-variance metrics due to their inherent subjectivity. Moreover, methods and labels in dialogue evaluation are not fully standardized, especially for open-domain chats, with a lack of work to compare and assess the validity of those approaches. The use of inconsistent evaluation can misinform the performance of a dialogue system, which becomes a major hurdle to enhance it. Thus, a dimensional evaluation of chat-oriented open-domain dialogue systems that reliably measures several aspects of dialogue capabilities is desired. This paper presents a novel human evaluation method to estimate the rates of many dialogue system behaviors. Our method is used to evaluate four state-of-the-art open-domain dialogue systems and compared with existing approaches. The analysis demonstrates that our behavior method is more suitable than alternative Likert-style or comparative approaches for dimensional evaluation of these systems.

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Authors (3)
  1. Sarah E. Finch (10 papers)
  2. James D. Finch (9 papers)
  3. Jinho D. Choi (67 papers)
Citations (6)