A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
WordNet: a lexical database for English
Communications of the ACM
Foundations of statistical natural language processing
Foundations of statistical natural language processing
A library of generic concepts for composing knowledge bases
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Exploiting a Thesaurus-Based Semantic Net for Knowledge-Based Search
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Knowledge-Based Approaches to Query Expansion in Information Retrieval
AI '96 Proceedings of the 11th Biennial Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Competitive self-trained pronoun interpretation
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Towards modeling threaded discussions using induced ontology knowledge
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
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The need for collaboration arises in many activities required for effective problem solving and decision making. We are developing Angler, a web-services tool that supports collaboration among participants on some focus topic. Angler overcomes some common barriers to collaboration by enabling asynchronous and distributed collaboration. Angler supports a collaboration methodology that exploits opportunities afforded by multiple participants each making contributions to the collaboration. One challenge that arises in helping participants manage their contributions and their review of others' contributions is determining when one contribution is very similar to another contribution. Two very similar contributions may suggest either a need to merge them or to further elaborate one or both of them. Indexes over the participant contributions are used to assess similarity across contributions and address this challenge. The indexes may comprise lexical or ontological information; the former indexes require fewer resources to deploy but the later appear to support better similarity estimates.