ENCORE: Experiments with a Synthetic Entity Co-reference Resolution Tool
LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION(2010)
摘要
We present ENCORE, a sy-stem for entity co-reference resolution that synthesizes the outputs of several off-the-shelf co-reference resolution systems. To boost precision. we filter the output using a named entity recognition tool called SYNERGY which itself is a synthesis of several off-the-shelf NER systems. ENCORE is designed to work under two conditions: NP-CR winch resolves noun phrase co-reference and NE-CR which resolves co-references only for named entities. We report the results of our experiments with ENCORE that show 2% to 400% improvements in precision. recall and F-scores over the underling. systems. Tins opens a promising approach which leverages the existing "black box" state-of-the-art tools without attempting to re-create their achievements and focuses the development efforts on the differences in their output.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络