Paper: Domain-Specific Knowledge Acquisition From Text

ACL ID A00-1037
Title Domain-Specific Knowledge Acquisition From Text
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2000
Authors

In many knowledge intensive applications, it is nec- essary to have extensive domain-specific knowledge in addition to general-purpose knowledge bases. This paper presents a methodology for discovering domain-specific concepts and relationships in an at- tempt to extend WordNet. The method was tested on five seed concepts selected from the financial domain: interest rate, stock market, inflation, eco- nomic growth, and employment. 1 Desiderata for Automated Knowledge Acquisition The need for knowledge The knowledge is infinite and no matter how large a knowledge base is, it is not possible to store all the concepts and procedures for all domains. Even if that were possible, the knowledge is generative and there are no guarantees that a system will have the latest information all the time. ...