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Cognitive Computation
Published in: Cognitive Computation 2/2024

30-10-2023

Graph-Based Interactive Matching for Pairs of News Articles

Authors: Kunhao Pan, Guowei Zhang, Meng Liao, Jin Xu

Published in: Cognitive Computation | Issue 2/2024

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Abstract

Long-text document matching has been widely applied in many applications, such as topic detection and tracking and relative article recommendation. However, existing methods still have many defects in extracting and utilizing long text features, especially in news articles. In this paper, we propose a novel long-text pair matching framework that constructs texts into graphs and comprehensively utilizes graphs for interactive matching. We conduct extensive experiments on four datasets, including CNSE, CNSS, TNSE, and TNSS. Extensive experimental results demonstrate the significant improvements over a wide range of state-of-the-art methods. The proposed EEG model is novel, and it significantly outperforms an extensive range of baselines.
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Footnotes
1
The two datasets will be released if the paper is accepted.
 
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Metadata
Title
Graph-Based Interactive Matching for Pairs of News Articles
Authors
Kunhao Pan
Guowei Zhang
Meng Liao
Jin Xu
Publication date
30-10-2023
Publisher
Springer US
Published in
Cognitive Computation / Issue 2/2024
Print ISSN: 1866-9956
Electronic ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-023-10208-6

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