Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Web-scale information extraction in knowitall: (preliminary results)
Proceedings of the 13th international conference on World Wide Web
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Autonomously semantifying wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Automatically refining the wikipedia infobox ontology
Proceedings of the 17th international conference on World Wide Web
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Distant supervision for relation extraction without labeled data
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Learning to link entities with knowledge base
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Collective cross-document relation extraction without labelled data
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Modeling relations and their mentions without labeled text
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Collective entity linking in web text: a graph-based method
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Learning chinese entity attributes from online encyclopedia
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
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Automatically constructing knowledge bases from online resources has become a crucial task in many research areas. Most existing knowledge bases are built from English resources, while few efforts have been made for other languages. Building knowledge bases for Chinese is of great importance on its own right. However, simply adapting existing tools from English to Chinese yields inferior results. In this paper, we propose to create Chinese knowledge bases from online resources with less human involvement. This project will be formulated in a self-supervised framework which requires little manual work to extract knowledge facts from online encyclopedia resources in a probabilistic view. In addition, this framework will be able to update the constructed knowledge base with knowledge facts extracted from up-to-date newswire. Currently, we have obtained encouraging results in our pilot experiments that extracting knowledge facts from infoboxes can achieve a high accuracy of around 95%, which will be then used as training data for the extraction of plain webpages.