QED stands for Dataset for Explanations in Question Answering. It is a question-answering dataset annotated by experts and is based on a subset of the Google Natural Questions dataset. QED is a linguistically principled framework for question-answering parsing. Given a question and a text, QED represents the parsing of the answer as a combination of discrete, understandable steps:

• Sentence selection: Find a sentence that contains an implicit question.
• Referential equality: Identify noun phrases in question and answer sentences that refer to the same thing.
• Predicate entailment: Once referential equality is extracted, it confirms that the predicate in the sentence contains the predicate in the question.

Citation

@misc{lamm2020qed, title={QED: A Framework and Dataset for Explanations in Question Answering}, author={Matthew Lamm and Jennimaria Palomaki and Chris Alberti and Daniel Andor and Eunsol Choi and Livio Baldini Soares and Michael Collins}, year={2020}, eprint={2009.06354}, archivePrefix={arXiv}, primaryClass={cs.CL} }