Corpus ID: 234093776

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

@inproceedings{Dasigi2021ADO,
  title={A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers},
  author={Pradeep Dasigi and Kyle Lo and Iz Beltagy and Arman Cohan and Noah A. Smith and Matt Gardner},
  booktitle={NAACL},
  year={2021}
}

• Pradeep Dasigi, Kyle Lo, +3 authors Matt Gardner
• Published in NAACL 2021
• Computer Science

Readers of academic research papers often read with the goal of answering specific questions. Question Answering systems that can answer those questions can make consumption of the content much more efficient. However, building such tools requires data that reflect the difficulty of the task arising from complex reasoning about claims made in multiple parts of a paper. In contrast, existing information-seeking question answering datasets usually contain questions about generic factoid-type… Expand