MUC5 '93 Proceedings of the 5th conference on Message understanding
Overview of the fourth message understanding evaluation and conference
MUC4 '92 Proceedings of the 4th conference on Message understanding
TIPSTER '93 Proceedings of a workshop on held at Fredericksburg, Virginia: September 19-23, 1993
Pattern matching and discourse processing in information extraction from Japanese text
Journal of Artificial Intelligence Research
Wrap-Up: a trainable discourse module for information extraction
Journal of Artificial Intelligence Research
Cerno: Light-weight tool support for semantic annotation of textual documents
Data & Knowledge Engineering
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In evaluating the state of technology for extracting information from natural language text by machine, it is valuable to compare the performance of machine extraction systems with that achieved by humans performing the same task. The purpose of this paper is to present some results from a comparative study of human and machine performance for one of the information extraction tasks used in the MUC-5/Tipster evaluation that can help assess the maturity and applicability of the technology.