Lying Through One’s Teeth: A Study on Verbal Leakage Cues
Published in EMNLP, 2021
Recommended citation: Min-Hsuan Yeh and Lun-Wei Ku. (2021). "Lying Through One’s Teeth: A Study on Verbal Leakage Cues," to appear in Proceedings of the The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP). https://aclanthology.org/2021.emnlp-main.370.pdf
We study verbal leakage cues to understand the effect of the data construction method on their significance, and examine the relationship between such cues and models' validity. Result shows that data with audio statements and lie-based annotations indicate a greater number of strong verbal leakage cue categories, and shows that models trained on a dataset with more strong verbal leakage cue categories yield superior results.
Recommended citation: Min-Hsuan Yeh and Lun-Wei Ku. (2021). “Lying Through One’s Teeth: A Study on Verbal Leakage Cues,” to appear in Proceedings of the The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP).