The selection recognition agent: instant access to relevant information and operations
Proceedings of the 2nd international conference on Intelligent user interfaces
Collaborative, programmable intelligent agents
Communications of the ACM
Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Training agents to recognize text by example
Proceedings of the third annual conference on Autonomous Agents
KPS: a Web information mining algorithm
WWW '99 Proceedings of the eighth international conference on World Wide Web
Learning dictionaries for information extraction by multi-level bootstrapping
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
An empirical study of human Web assistants: implications for user support in Web information systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The generic information extraction system
MUC5 '93 Proceedings of the 5th conference on Message understanding
University of Sheffield: description of the LaSIE system as used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
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Information extraction helps in building advanced tools for text processing applications such as electronic publishing and information retrieval. The applications differ in their requirements on the input text, output information, and available resources for information extraction. Since existing IE technologies are application specific, extensive expert work is required to meet the needs of each new application. However, today, most users do not have this expertise and thus need a tool to easily create IE systems tailored to their needs. We introduce a framework that consists of (1) an extensible set of advanced IE technologies together with a description of the properties of their input, output, and resources, and (2) a generator that selects the relevant technologies for a specific application and integrates these into an IE system. A prototype of the framework is presented, and the generation of IE systems for two example applications is illustrated. The results are presented as guidelines for further development of the framework.