Integrating multiple knowledge sources to disambiguate word sense: an exemplar-based approach
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
BBN: description of the PLUM system as used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
New York University PROTEUS system: MUC-4 test results and analysis
MUC4 '92 Proceedings of the 4th conference on Message understanding
BEN: description of the PLUM system as used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
Description of the UMass system as used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
MITRE: description of the Alembic system used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
The NYU system for MUC-6 or where's the syntax?
MUC6 '95 Proceedings of the 6th conference on Message understanding
SRA: description of the SRA system as used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
SRI International FASTUS system: MUC-6 test results and analysis
MUC6 '95 Proceedings of the 6th conference on Message understanding
FASTUS: a system for extracting information from text
HLT '93 Proceedings of the workshop on Human Language Technology
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Two dimensional generalization in information extraction
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
The use of word sense disambiguation in an information extraction system
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
A Term-Based Methodology for Template Creation in Information Extraction
NLP '00 Proceedings of the Second International Conference on Natural Language Processing
The role of a GUI in the creation of a trainable message understanding system
CASCON '97 Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research
A portable method for acquiring information extraction patterns without annotated corpora
Natural Language Engineering
Inferring knowledge from a large semantic network
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Guaranteeing parsing termination of unification grammars
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Semantic extraction with wide-coverage lexical resources
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Generating extraction patterns from a large semantic network and an untagged corpus
SEMANET '02 Proceedings of the 2002 workshop on Building and using semantic networks - Volume 11
Extraction of financial information from online business reports
ACM SIGMIS Database
Hi-index | 0.00 |
The explosion in the amount of free text materials on the Internet, and the use of this information by people from all walks of life, has made the issue of generalized information extraction a central one in Natural Language Processing. We have built a system that attempts to provide any user with the ability to efficiently create and customize, for his or her own application, an information extraction system with competitive precision and recall statistics. The use of WordNet in the design of the system helps take the computational linguist out of the process of customizing the system to each new domain. This is achieved by using WordNet to minimize the effort on the end user for building the semantic knowledge bases and writing the regular patterns for new domains.