Electric words: dictionaries, computers, and meanings
Electric words: dictionaries, computers, and meanings
EuroWordNet: a multilingual database with lexical semantic networks
EuroWordNet: a multilingual database with lexical semantic networks
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Automatic Extraction of Biological Information from Scientific Text: Protein-Protein Interactions
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
Lexical Acquisition and Information Extraction
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Error driven word sense disambiguation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Generalizing automatically generated selectional patterns
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Projecting corpus-based semantic links on a thesaurus
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
What's new about the Semantic Web?: some questions
ACM SIGIR Forum
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Event-based information extraction for the biomedical domain: the Caderige project
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Semantic precision and recall for ontology alignment evaluation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
TERMINAE method and integration process for legal ontology building
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
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This position paper discusses various issues concerning the semantic web. We claim that reflection on formats has attracted the most important part of the research effort so far, whereas the web (including the future semantic web) is mainly made of texts. From our point of view, research should attach a major role to natural language properties and deal with complexity, ambiguity and polysemy. We show that the initial model from T. Berners-Lee must be refined and made more complex if these natural language technologies are to take language diversity into account.