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| Presentation | 2022-11-29 10:00 Link Prediction from Text Content by NLP Graph Embedding -- A Study on Chinese Journal Articles -- Tzu-Ying Yang, Hsuan Lei Shao, Chih-Chuan Fan, Wei-Hsin Wang (NTNU)  NLC2022-9 SP2022-29 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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 |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | knowledge graph / link prediction / natural language processing / GNN learning / China-studies / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 287, NLC2022-9, pp. 1-4, Nov. 2022. | |
| Paper # | NLC2022-9 | |
| Date of Issue | 2022-11-22 (NLC, SP) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NLC2022-9 SP2022-29 |
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| Conference Information | |
| Committee | NLC IPSJ-NL SP IPSJ-SLP |
| Conference Date | 2022-11-29 - 2022-12-01 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2022-11-NLC-NL-SP-SLP |
| Language | English (Japanese title is available) |
| 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 |
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| 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) |
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| Speaker | Author-2 |
| Date Time | 2022-11-29 10:00:00 |
| Presentation Time | 30 minutes |
| Registration for | NLC |
| Paper # | NLC2022-9, SP2022-29 |
| Volume (vol) | vol.122 |
| Number (no) | no.287(NLC), no.288(SP) |
| Page | pp.1-4 |
| #Pages | 4 |
| Date of Issue | 2022-11-22 (NLC, SP) |
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