Presentation 2022-11-29
Link Prediction from Text Content by NLP Graph Embedding
Tzu-Ying Yang, Hsuan Lei Shao, Chih-Chuan Fan, Wei-Hsin Wang,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Abstract This paper is an extended research of the project “The Knowledge Database/ Graph of China-studies”. The main research target is to predict the new research stream from known journal papers by the graph embedding and link prediction. The challenge of our dataset does not include citation relationships; therefore, we might retrieve features of relationships from the content of the papers inside directly. We used keywords collaboration and k-means to reduce dimension, then word2vec and MLP to classify if any two nodes can link in the next round (year). Finally, we could achieve over 90% accuracy in each round which is better than the base-line method (random-forest with Adar and Jaccard score). And we also provide a visualization graph in action. We contribute a pipeline workflow to the rawer bibliography dataset which doesn’t conclude cite-relationship, and this workflow can be used on social media or other text-only datasets. Keywords knowledge graph, link prediction, natural language processing, GNN learning
Keyword(in Japanese) (See Japanese page)
Keyword(in English) knowledge graph / link prediction / natural language processing / GNN learning / China-studies
Paper # NLC2022-9,SP2022-29
Date of Issue 2022-11-22 (NLC, SP)

Conference Information
Committee NLC / IPSJ-NL / SP / IPSJ-SLP
Conference Date 2022/11/29(3days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Mitsuo Yoshida(Univ. of Tsukuba) / 須藤 克仁(奈良先端科学技術大学院大学) / Tomoki Toda(Nagoya Univ.) / 戸田 智基(名古屋大学)
Vice Chair Hiroki Sakaji(Univ. of Tokyo) / Takeshi Kobayakawa(NHK)
Secretary Hiroki Sakaji(NTT) / Takeshi Kobayakawa(Hiroshima Univ. of Economics) / (株式会社デンソーアイティーラボラトリ) / (北海学園大学) / (東京農工大学)
Assistant Kanjin Takahashi(Sansan) / Yasuhiro Ogawa(Nagoya Univ.) / / Ryo Aihara(Mitsubishi Electric) / Daisuke Saito(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Natural Language / Technical Committee on Speech / Special Interest Group on Spoken Language Processing
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Link Prediction from Text Content by NLP Graph Embedding
Sub Title (in English) A Study on Chinese Journal Articles
Keyword(1) knowledge graph
Keyword(2) link prediction
Keyword(3) natural language processing
Keyword(4) GNN learning
Keyword(5) China-studies
1st Author's Name Tzu-Ying Yang
1st Author's Affiliation National Taiwan Normal University(NTNU)
2nd Author's Name Hsuan Lei Shao
2nd Author's Affiliation National Taiwan Normal University(NTNU)
3rd Author's Name Chih-Chuan Fan
3rd Author's Affiliation National Taiwan Normal University(NTNU)
4th Author's Name Wei-Hsin Wang
4th Author's Affiliation National Taiwan Normal University(NTNU)
Date 2022-11-29
Paper # NLC2022-9,SP2022-29
Volume (vol) vol.122
Number (no) NLC-287,SP-288
Page pp.pp.1-4(NLC), pp.1-4(SP),
#Pages 4
Date of Issue 2022-11-22 (NLC, SP)