Concepedia

Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries

Yan Xu, Yining Wang, Tianren Liu, Jiahua Liu, Yubo Fan, Yi Qian, Jun’ichi Tsujii, Eric Chang

Journal of the American Medical Informatics Association · 2013 · 74 citations · 30 references

DOIFull text

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Abstract

The joint model is efficient and effective in both segmentation and recognition compared with the two individual tasks. The model achieved encouraging results, demonstrating the feasibility of the two tasks.

References

30

Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

John Lafferty, Andrew McCallum, Fernando C. N. Pereira · ScholarlyCommons (University of Pennsylvania) · 2001 · 13K citations · Full text

Decomposition Principle for Linear Programs

George B. Dantzig, Philip Wolfe · Operations Research · 1960 · 2.2K citations

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2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text

Özlem Uzuner, Brett R. South, Shuying Shen et al. · Journal of the American Medical Informatics Association · 2011 · 1.2K citations · Full text

Extracting medication information from clinical text

Özlem Uzuner, Imre Solti, Eithon Cadag · Journal of the American Medical Informatics Association · 2010 · 462 citations · Full text

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A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005

Huihsin Tseng, Pi-Chuan Chang, Galen Andrew et al. · 2005 · 337 citations