Preference semantics for message understanding
HLT '89 Proceedings of the workshop on Speech and Natural Language
A full-scale YACC-based parallel interpreter of English
ACM-SE 36 Proceedings of the 36th annual Southeast regional conference
Knowledge-based extraction of named entities
Proceedings of the eleventh international conference on Information and knowledge management
Information extraction from case law and retrieval of prior cases
Artificial Intelligence - Special issue on AI and law
Coping with ambiguity and unknown words through probabilistic models
Computational Linguistics - Special issue on using large corpora: II
Validating the TEMAA LE evaluation methodology: a case study on Danish spelling checkers
Natural Language Engineering
Document classification by machine: theory and practice
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Overview of the fourth message understanding evaluation and conference
MUC4 '92 Proceedings of the 4th conference on Message understanding
Text filtering in MUC-3 and MUC-4
MUC4 '92 Proceedings of the 4th conference on Message understanding
MITRE-Bedford: description of the ALEMBIC system as used for MUC-4
MUC4 '92 Proceedings of the 4th conference on Message understanding
Feature selection and feature extraction for text categorization
HLT '91 Proceedings of the workshop on Speech and Natural Language
Classifying texts using relevancy signatures
HLT '91 Proceedings of the workshop on Speech and Natural Language
Foundations and Trends in Databases
Using decision trees for conference resolution
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Learning to disambiguate relative pronouns
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
| Hi-index | 0.00 |
The Naval Ocean Systems Center (NOSC) has conducted the third in a series of evaluations of English text analysis systems. These evaluations are intended to advance our understanding of the merits of current text analysis techniques, as applied to the performance of a realistic information extraction task. The latest one is also intended to provide insight into information retrieval technology (document retrieval and categorization) used instead of or in concert with language understanding technology. The inputs to the analysis/extraction process consist of naturally-occurring texts that were obtained in the form of electronic messages. The outputs of the process are a set of templates or semantic frames resembling the contents of a partially formatted database.