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Probing-Analysing-Understanding-QA-Dataset-Papers

Paper list for probing, analysing and understanding QA dataset

Papers

  1. A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task, ACL 2016. paper

    Danqi Chen, Jason Bolton, Christopher D. Manning.

  2. Adversarial Examples for Evaluating Reading Comprehension Systems, EMNLP 2017. paper

    Robin Jia, Percy Liang.

  3. To Test Machine Comprehension, Start by Defining Comprehension, ACL 2020. paper

    Jesse Dunietz, Greg Burnham, Akash Bharadwaj, Owen Rambow, Jennifer Chu-Carroll, Dave Ferrucci.

  4. What do Models Learn from Question Answering Datasets?, EMNLP 2020. paper

    Priyanka Sen, Amir Saffari.

  5. Numerical reasoning in machine reading comprehension tasks: are we there yet?, EMNLP 2021. paper

    Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo.

  6. Evaluation Paradigms in Question Answering, EMNLP 2021. paper

    Pedro Rodriguez, Jordan Boyd-Graber.

  7. Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains, Insights@ACL 2022. paper

    Chenyang Lyu, Jennifer Foster, Yvette Graham.

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