A Novel Approach for Semantic Similarity Measurement for High Quality Answer Selection in Question Answering using Deep Learning Methods-Reference-Cited by-同舟云学术

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A Novel Approach for Semantic Similarity Measurement for High Quality Answer Selection in Question Answering using Deep Learning Methods

Published:2020-03 Issue: Volume: Page:
ISSN:
Container-title:2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS)
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Author:

Vekariya Darshana V.,Limbasiya Nivid R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9058619/9074154/09074471.pdf?arnumber=9074471

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Krishiq-BERT: A Few-Shot Setting BERT Model to Answer Agricultural-Related Questions in the Kannada Language;Journal of The Institution of Engineers (India): Series B;2024-01-16

2. Content-Driven Answer Selection in Community Question Answering Using Clustering and Fuzzy Ranking;National Academy Science Letters;2023-07-11

3. A hybrid approach of Poisson distribution LDA with deep Siamese Bi-LSTM and GRU model for semantic similarity prediction for text data;Multimedia Tools and Applications;2023-03-18

4. Implementation of Open Domain Question Answering System;Data Management, Analytics and Innovation;2022-09-22

5. Semantic Malayalam Dialogue System For Covid-19 Question Answering Using Word Embedding And Cosine Similarity;2021 International Conference on Advances in Computing and Communications (ICACC);2021-10-21

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