EMNLP 2023long findings0 citations
Interpreting Answers to Yes-No Questions in User-Generated Content
Shivam Mathur, Keun Hee Park, Dhivya Chinnappa, Saketh Kotamraju, Eduardo Blanco
Abstract
Interpreting answers to yes-no questions in social media is difficult. Yes and no keywords are uncommon, and the few answers that include them are rarely to be interpreted what the keywords suggest. In this paper, we present a new corpus of 4,442 yes-no question-answer pairs from Twitter. We discuss linguistic characteristics of answers whose interpretation is yes or no, as well as answers whose interpretation is unknown. We show that large language models are far from solving this problem, even after fine-tuning and blending other corpora for the same problem but outside social media.
yes-no questionsquestion answering
BibTeX
@inproceedings{
mathur2023interpreting,
title={Interpreting Answers to Yes-No Questions in User-Generated Content},
author={Shivam Mathur and Keun Hee Park and Dhivya Chinnappa and Saketh Kotamraju and Eduardo Blanco},
booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
year={2023},
url={https://openreview.net/forum?id=7FaWK7HpKK}
}