A Systematic Literature Review of Question Answering: Research Trends, Datasets, Methods-Reference-Cited by-同舟云学术

A Systematic Literature Review of Question Answering: Research Trends, Datasets, Methods

Published:2022 Issue: Volume: Page:47-62
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2022 Workshops
language:
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Author:

Bakır Dilan^ORCID,Aktas Mehmet S.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-10536-4_4

Reference98 articles.

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3. Unterkalmsteiner, M., Gorschek, T., Islam, A., Cheng, C.K., Permadi, R.B., Feldt, R.: Evaluation and measurement of software process improvement-a systematic literature review. IEEE Trans. Softw. Eng. 38(2), 398–424 (2012). https://doi.org/10.1109/TSE.2011.26

4. Wahono, R.S.: A systematic literature review of software defect prediction: research trends, datasets, methods and frameworks. J. Softw. Eng. 1(1), 1–16 (2015)

5. Yao, X.: Feature-Driven Question Answering with Natural Language Alignment. John Hopkins University (2014)

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