Learning to extract information from text based on user-provided examples
CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
An Adaptable IE System to New Domains
Applied Intelligence
Can We Make Information Extraction More Adaptive?
Information Extraction: Towards Scalable, Adaptable Systems
A Framework for Generating Task Specific Information Extraction Systems
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Semantic Log Analysis Based on a User Query Behavior Model
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Information extraction from case law and retrieval of prior cases
Artificial Intelligence - Special issue on AI and law
Learning rules for information extraction
Natural Language Engineering
A definition and short history of Language Engineering
Natural Language Engineering
Constraint-based event recognition for information extraction
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Implementation architectures for natural language generation
Natural Language Engineering
Mitre-Bedford: description of the Alembic system as used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
University of Manitoba: description of the NUBA system as used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
Pattern matching in a linguistically-motivated text understanding system
HLT '94 Proceedings of the workshop on Human Language Technology
Information extraction overview
TIPSTER '93 Proceedings of a workshop on held at Fredericksburg, Virginia: September 19-23, 1993
Adaptive information extraction
ACM Computing Surveys (CSUR)
Natural Language Processing as a Foundation of the Semantic Web
Foundations and Trends in Web Science
A machine learning approach to information extraction
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Coupled hierarchical IR and stochastic models for surface information extraction
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
Exploring the use of new technologies in participation practices in legislation
Journal of E-Governance
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An information extraction system is a cascade of transducers or modules that at each step add structure and often lose information, hopefully irrelevant, by applying rules that are acquired manually and/or automatically.