Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Implementing a semantic interpreter using conceptual graphs
IBM Journal of Research and Development
Conceptual graphs for the analysis and generation of sentences
IBM Journal of Research and Development
Embedding knowledge in Web documents
WWW '99 Proceedings of the eighth international conference on World Wide Web
Class-Based Construction of a Verb Lexicon
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Conceptual Graph Interchange Format for Mining Financial Statements
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
A supervised algorithm for verb disambiguation into VerbNet classes
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
CROVALLEX lexicon improvements: subcategorization and semantic constraints
WSEAS Transactions on Computers
Information retrieval with a simplified conceptual graph-like representation
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
VerbNet class assignment as a WSD task
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
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With the huge number of documents becoming available in electronic form, finding the right information in a large corpus is becoming an increasingly important and difficult task. We believe that semantic processing is required for accurate information retrieval.This paper describes a framework for the automatic creation of semantic markup and its insertion into XML documents. The availability of such semantic annotation would be of great help when the documents are queried, and, in particular, would facilitate the application of inference techniques, therefore allowing the system to deduce information not explicitly mentioned in the text.