Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding-Reference-Cited by-同舟云学术

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Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding

Published:2022-11-02 Issue:1 Volume:34 Page:2652-2670
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Zhao Weidong¹,Liu Xiaotong¹^ORCID,Jing Jun²,Xi Rongchang³

Affiliation:

1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, People’s Republic of China

2. Shandong High Speed Information Group Co., Ltd, Jinan, People’s Republic of China

3. Shandong Yiyou Liangyi Intelligent Technology Co., Ltd, Qingdao, People’s Republic of China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2022.2140122

Reference45 articles.

1. A Jaccard base similarity measure to improve performance of CF based recommender systems

2. Attentive Siamese LSTM Network for Semantic Textual Similarity Measure

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