REXTOR: a system for generating relations from natural language
RANLPIR '00 Proceedings of the ACL-2000 workshop on Recent advances in natural language processing and information retrieval: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 11
Abstraction summarization for managing the biomedical research literature
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
CSCL Data Structurization and Inter-LMS Sharing with Use of Web Services
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
CSCL utterance NLP analysis and inter-LMS sharing with use of Web Services
International Journal of Advanced Intelligence Paradigms
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This paper proposes a method to transform e-Learning context of Japanese natural language description into a RDF formal description with use of a case frame. With use of the case frame, more precise representation of meaning and relationship between words of the given sentence is available, rather than a collection of keyword. Also the authors adopt the RDF for formal description, because it provides machine-readable and interpretable representation of the given sentences. An author or editor just writes some key sentences for each e-Learning contents. The proposing system processes them and generates the RDF description automatically. It will benefit to search suitable e-Learning content.