Coupled semi-supervised learning for Chinese knowledge extraction

Leeheng Ma, Yi Ting Tsao, Yen Ling Kuo, Jane Yung Jen Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Robust intelligent systems may leverage knowledge about the world to cope with a variety of contexts. While automatic knowledge extraction algorithms have been successfully used to build knowledge bases in English, little progress has been made in extracting non-alphabetic languages, e.g. Chinese. This paper identifies the key challenge in instance and pattern extraction for Chinese and presents the Coupled Chinese Pattern Learner that utilizes part-of-speech tagging and language-dependent grammar rules for generalized matching in the Chinese never-ending language learner framework for large-scale knowledge extraction from online documents. Experiments showed that the proposed system is scalable and achieves a precision of 79.9% in learning categories after a small number of iterations.

Original languageEnglish
Title of host publicationWS-16-01
Subtitle of host publicationArtificial Intelligence Applied to Assistive Technologies and Smart Environments; WS-16-02: AI, Ethics, and Society; WS-16-03: Artificial Intelligence for Cyber Security; WS-16-04: Artificial Intelligence for Smart Grids and Smart Buildings; WS-16-05: Beyond NP; WS-16-06: Computer Poker and Imperfect Information Games; WS-16-07: Declarative Learning Based Programming; WS-16-08: Expanding the Boundaries of Health Informatics Using AI; WS-16-09: Incentives and Trust in Electronic Communities; WS-16-10: Knowledge Extraction from Text; WS-16-11: Multiagent Interaction without Prior Coordination; WS-16-12: Planning for Hybrid Systems; WS-16-13: Scholarly Big Data: AI Perspectives, Challenges, and Ideas; WS-16-14: Symbiotic Cognitive Systems; WS-16-15: World Wide Web and Population Health Intelligence
PublisherAI Access Foundation
Number of pages5
ISBN (Electronic)9781577357599
StatePublished - 2016
Externally publishedYes
Event30th AAAI Conference on Artificial Intelligence, AAAI 2016 - Phoenix, United States
Duration: 12 02 201613 02 2016

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-16-01 - WS-16-15


Conference30th AAAI Conference on Artificial Intelligence, AAAI 2016
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
Copyright © 2016, Association for the Advancement of Artificial Intelligence (


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