Focusing on scenario recognition in information extraction
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
University of Massachusetts: description of the CIRCUS system as used for MUC-4
MUC4 '92 Proceedings of the 4th conference on Message understanding
Description of the UMass system as used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
Classifying texts using relevancy signatures
HLT '91 Proceedings of the workshop on Speech and Natural Language
Adopting ontologies for multisource identity resolution
OBI '08 Proceedings of the first international workshop on Ontology-supported business intelligence
A case-based approach to knowledge acquisition for domain-specific sentence analysis
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
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We believe that the score reports we obtained for TST2 provide an accurate assessment of our system's capabilities insofar as they are consistent with the results of our own internal tests conducted near the end of phase 2.. The required TST2 score reports indicate that our system achieved the highest combined scores for recall (51%) and precision (62%) as well as the highest recall score of all the MUC-3 systems under the official MATCHED/MISSING scoring profile.