Paper: Improving Name Tagging By Reference Resolution And Relation Detection

ACL ID P05-1051
Title Improving Name Tagging By Reference Resolution And Relation Detection
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2005
Authors

Information extraction systems incorpo- rate multiple stages of linguistic analysis. Although errors are typically compounded from stage to stage, it is possible to re- duce the errors in one stage by harnessing the results of the other stages. We dem- onstrate this by using the results of coreference analysis and relation extrac- tion to reduce the errors produced by a Chinese name tagger. We use an N-best approach to generate multiple hypotheses and have them re-ranked by subsequent stages of processing. We obtained thereby a reduction of 24% in spurious and incorrect name tags, and a reduction of 14% in missed tags.