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Deep learning-based question answering: a survey

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Abstract

Question Answering is a crucial natural language processing task. This field of research has attracted a sudden amount of interest lately due mainly to the integration of the deep learning models in the Question Answering Systems which consequently power up many advancements and improvements. This survey aims to explore and shed light upon the recent and most powerful deep learning-based Question Answering Systems and classify them based on the deep learning model used, stating the details of the used word representation, datasets, and evaluation metrics. It aims to highlight and discuss the currently used models and give insights that direct future research to enhance this increasingly growing field.

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Notes

  1. https://github.com/tmikolov/word2vec, Date of Access: 5th Jun, 2022.

  2. https://github.com/stanfordnlp/GloVe, Date of Access: 5th Jun, 2022.

  3. Download link: https://trec.nist.gov/data/qa.html, Date of Access: 5th Jun, 2022.

  4. The Text REtrieval Conference (TREC) is a series of workshops that provides the needed infrastructure for text retrieval methodologies with large-scale evaluation.

  5. Download link: https://download.microsoft.com/download/E/5/F/E5FCFCEE-7005-4814-853D-DAA7C66507E0/WikiQACorpus.zip, Date of Access: 5th Jun, 2022.

  6. Download link: https://github.com/shuzi/insuranceQA, Date of Access: 5th Jun, 2022.

  7. Download link: https://ciir.cs.umass.edu/downloads/wikipassageqa/WikiPassageQA.zip, Date of Access: 5th Jun, 2022.

  8. Download link: https://deepai.org/dataset/squad, Date of Access: 5th Jun, 2022.

  9. Download link: https://github.com/abisee/cnn-dailymail, Date of Access: 5th Jun, 2022.

  10. Download link: https://research.fb.com/downloads/babi/, Date of Access: 5th Jun, 2022.

  11. Download link: https://www.cs.cmu.edu/~glai1/data/race/, Date of Access: 5th Jun, 2022.

  12. Download link: https://sheng-z.github.io/ReCoRD-explorer/, Date of Access: 5th Jun, 2022.

  13. Download link: http://nlp.cs.washington.edu/triviaqa/, Date of Access: 5th Jun, 2022.

  14. Download link: https://github.com/deepmind/narrativeqa, Date of Access: 5th Jun, 2022.

  15. Download link: https://github.com/deepmind/narrativeqa, Date of Access: 5th Jun, 2022.

  16. Download link: https://hotpotqa.github.io/, Date of Access: 5th Jun, 2022.

  17. Download link: https://microsoft.github.io/msmarco/, Date of Access: 5th Jun, 2022.

  18. Download link: https://quac.ai/, Date of Access: 5th Jun, 2022.

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Authors and Affiliations

  1. Department of Computer Science, Princess Sumaya University for Technology, Amman, Jordan

    Heba Abdel-Nabi & Arafat Awajan

  2. Computer Science Department, Mutah University, Karak, Jordan

    Arafat Awajan

  3. Faculty of Computer and Information Technology, Jordan University of Science and Technology, Irbid, Jordan

    Mostafa Z. Ali

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  1. Heba Abdel-Nabi
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Abdel-Nabi, H., Awajan, A. & Ali, M.Z. Deep learning-based question answering: a survey. Knowl Inf Syst 65, 1399–1485 (2023). https://doi.org/10.1007/s10115-022-01783-5

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