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arXiv 1910.11790cs.CL

Measuring Conversational Fluidity in Automated Dialogue Agents

Queen Mary College, University of London(伦敦大学玛丽女王学院);Constellation AI

Keith Vella, Massimo Poesio, Michael Sigamani, Cihan Dogan, Aimore Dutra, Dimitrios Dimakopoulos, Alfredo Gemma, Ella Walters

英文摘要:

We present an automated evaluation method to measure fluidity in conversational dialogue systems. The method combines various state of the art Natural Language tools into a classifier, and human ratings on these dialogues to train an automated judgment model. Our experiments show that the results are an improvement on existing metrics for measuring fluidity.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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