SPIRIT: A Tree Kernel-Based Method for Topic Person Interaction Detection-Reference-Cited by-同舟云学术

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SPIRIT: A Tree Kernel-Based Method for Topic Person Interaction Detection

Published:2016-09-01 Issue:9 Volume:28 Page:2494-2507
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Chang Yung-Chun,Chen Chien Chin^ORCID,Hsu Wen-Lian

Funder

Ministry of Science and Technology of Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/7533522/07468551.pdf?arnumber=7468551

Cited by 3 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. Using Multi-task Deep Neural Network to Explore Person Interaction from Social Media;2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2022-11

2. LPTK: a linguistic pattern-aware dependency tree kernel approach for the BioCreative VI CHEMPROT task;Database;2018-01-01

3. SPIRIT: A Tree Kernel-Based Method for Topic Person Interaction Detection (Extended Abstract);2017 IEEE 33rd International Conference on Data Engineering (ICDE);2017-04

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