VN-KIM IE: automatic extraction of Vietnamese named-entities on the web
New Generation Computing
An Experimental Study on Lexicalized Statistical Parsing for Vietnamese
KSE '09 Proceedings of the 2009 International Conference on Knowledge and Systems Engineering
Vietnamese Lexical Functional Grammar
KSE '09 Proceedings of the 2009 International Conference on Knowledge and Systems Engineering
A transition-based parser for 2-planar dependency structures
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Named entity recognition for Vietnamese
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Construction of Vietnamese corpora for named entity recognition
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Co-reference Resolution in Vietnamese Documents Based on Support Vector Machines
IALP '11 Proceedings of the 2011 International Conference on Asian Language Processing
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
IALP '12 Proceedings of the 2012 International Conference on Asian Language Processing
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Natural Language Processing (NLP) for Vietnamese has been researched for more than a decade but still lacks of an open-source NLP pipeline. As the result, researchers have to spend a lot of time on various fundamental tasks before working on the task of interest. Besides, the circumstance holds back text processing technology in Vietnam because an application costs much more money and time to reach a deliverable state. This work is an attempt to solve this issue. By incorporating available open-source software packages and implementing new ones, we have created an open-source, production-ready solution for Vietnamese text processing. Via three experiments, we demonstrated its effectiveness and efficiency. The software has helped us to develop our solution for Vietnamese sentiment analysis and online reputation management and we hope that it will also facilitate research in Vietnamese NLP.