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In Proceedings of the sixth conference on Applied natural language processing (2000), pp. 76-83, doi:10.3115/974147.974158 Key: citeulike:1371220
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This paper reports on a large-scale, end-to-end relation and event extraction system. At present, the system extracts a total of 100 types of relations and events, which represents a much wider coverage than is typical of extraction systems. The system consists of three specialized pattern-based tagging modules, a high-precision coreference resolution module, and a configurable template generation module. We report quantitative evaluation results, analyze the results in detail, and discuss future directions.
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