Learning English and Arabic question similarity with Siamese Neural Networks in community question answering services-Reference-Cited by-同舟云学术

Learning English and Arabic question similarity with Siamese Neural Networks in community question answering services

Published:2022-03 Issue: Volume:138 Page:101962
ISSN:0169-023X
Container-title:Data & Knowledge Engineering
language:en
Short-container-title:Data & Knowledge Engineering

Author:

Othman Nouha,Faiz Rim,Smaïli Kamel

Publisher

Elsevier BV

Subject

Information Systems and Management

Reference40 articles.

1. Retrieval models for question and answer archives;Xue,2008

2. A generalized framework of exploring category information for question retrieval in community question answer archives;Cao,2010

3. L. Cai, G. Zhou, K. Liu, J. Zhao, Learning the latent topics for question retrieval in community QA, in: Proceedings of 5th International Joint Conference on Natural Language Processing, 2011, pp. 273–281.

4. Entity based q&a retrieval;Singh,2012

5. Question retrieval with high quality answers in community question answering;Zhang,2014

Cited by 19 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. GS-CBR-KBQA: Graph-structured case-based reasoning for knowledge base question answering;Expert Systems with Applications;2024-12

2. Interpretable answer retrieval based on heterogeneous network embedding;Pattern Recognition Letters;2024-06

3. Graph-SeTES: A graph based search task extraction using Siamese network;Information Sciences;2024-04

4. A Hybrid Method of Self-Supervised Graph Embedding, Siamese Networks, and Transformers for Sentiment Analysis in Persian Language;2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP);2024-02-21

5. Multi-hop community question answering based on multi-aspect heterogeneous graph;Information Processing & Management;2024-01