Semantic Improvement of Question-Answering System with Multi-Layer LSTM-Reference-Cited by-同舟云学术

Semantic Improvement of Question-Answering System with Multi-Layer LSTM

Published:2021 Issue: Volume: Page:338-352
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2021
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Author:

Bhuiyan Hanif^ORCID,Karim Md. Abdul^ORCID,Karim Faria Benta^ORCID,Ara Jinat^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86970-0_24

Reference26 articles.

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3. Bhuiyan, H., Oh, K.J., Hong, M.D., Jo, G.S.: An effective approach to generate Wikipedia infobox of movie domain using semi-structured data. J. Internet Comput. Serv. 18(3), 49–61 (2017)

4. Ara, J., Bhuiyan, H.: Semantic recognition of web structure to retrieve relevant documents from Google by formulating index term. Adv. Comput. Commun. Comput. Sci. (2019). https://doi.org/10.1007/978-981-13-6861-5_43

5. Bouziane, A., Bouchiha, D., Doumi, N., Malki, M.: Question answering systems: survey and trends. Procedia Comput. Sci. 73, 366–375 (2015). https://doi.org/10.1016/j.procs.2015.12.005

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