New York University: description of the Proteus system as used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
SRI: description of the JV-FASTUS system used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
Boosting unsupervised relation extraction by using NER
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
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Our group at New York University has developed a number of information extraction systems over the past decade. In particular, we have been participants in the Message Understanding Conferences (MUCs) since MUC-1. During this time, while experimenting with many aspects of system design, we have retained a basic approach in which information extraction involves a phase of full syntactic analysis, followed by a semantic analysis of the syntactic structure [2]. Because we have a good, broad-coverage English grammar and a moderately effective method for recovering from parse failures, this approach held us in fairly good stead.