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
FASTUS: a system for extracting information from text
HLT '93 Proceedings of the workshop on Human Language Technology
The role of wordnet in the creation of a trainable message understanding system
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
| 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 a graphical user interface (GUI), along with 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 the GUI to minimize the effort on the end user for writing the regular patterns for new domains. WordNet acts as a domain independent semantic knowledge base.