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Math @ Duke
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Publications [#376879] of Cynthia D. Rudin
Papers Published
- Ji, H; Rudin, C; Grishman, R, Re-Ranking Algorithms for Name Tagging,
Hlt Naacl 2006 Computationally Hard Problems and Joint Inference in Speech and Language Processing Proceedings of the Workshop
(January, 2006),
pp. 49-56
(last updated on 2026/01/16)
Abstract: Integrating information from different stages of an NLP processing pipeline can yield significant error reduction. We demonstrate how re-ranking can improve name tagging in a Chinese information extraction system by incorporating information from relation extraction, event extraction, and coreference. We evaluate three state-of-the-art re-ranking algorithms (MaxEnt-Rank, SVMRank, and p-Norm Push Ranking), and show the benefit of multi-stage re-ranking for cross-sentence and cross-document inference.
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