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NewsQs: Multi-Source Question Generation for the Inquiring Mind
Feb. 29, 2024, 5:48 a.m. | Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen McKeown
cs.CL updates on arXiv.org arxiv.org
Abstract: We present NewsQs (news-cues), a dataset that provides question-answer pairs for multiple news documents. To create NewsQs, we augment a traditional multi-document summarization dataset with questions automatically generated by a T5-Large model fine-tuned on FAQ-style news articles from the News On the Web corpus. We show that fine-tuning a model with control codes produces questions that are judged acceptable more often than the same model without them as measured through human evaluation. We use a …
abstract articles arxiv cs.cl dataset document documents faq generated mind multiple question questions show style summarization type web
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