Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains
<|reference_start|>Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains: People often answer yes-no questions without explicitly saying yes, no, or similar polar keywords. Figuring out the meaning of indirect answers is challenging, even for large language models. In this paper, we investigate this problem working with dialogues from multiple domains. We present new benchmarks in three diverse domains: movie scripts, tennis interviews, and airline customer service. We present an approach grounded on distant supervision and blended training to quickly adapt to a new dialogue domain. Experimental results show that our approach is never detrimental and yields F1 improvements as high as 11-34%.<|reference_end|>
@article{wang2024interpreting,
    title={Interpreting Answers to Yes-No Questions in Dialogues from Multiple
  Domains},
    author={Zijie Wang, Farzana Rashid, Eduardo Blanco},
    journal={arXiv preprint arXiv:2404.16262},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.16262},
    primaryClass={cs.CL}
}