Volume 12 Supplement 3

Machine Learning for Biomedical Literature Analysis and Text Retrieval

Research

Edited by Lana Yeganova and Rezarta Islamaj Dogan

Machine Learning for Biomedical Literature Analysis and Text Retrieval in the International Conference for Machine Learning and Applications 2010. Go to conference site.

Washington, DC, USA

12-14 December 2010

  1. Research

    Collocation analysis for UMLS knowledge-based word sense disambiguation

    The effectiveness of knowledge-based word sense disambiguation (WSD) approaches depends in part on the information available in the reference knowledge resource. Off the shelf, these resources are not optimize...

    Antonio Jimeno-Yepes, Bridget T Mclnnes and Alan R Aronson

    BMC Bioinformatics 2011 12(Suppl 3):S4

    Published on: 9 June 2011

  2. Research

    A structural SVM approach for reference parsing

    Automated extraction of bibliographic data, such as article titles, author names, abstracts, and references is essential to the affordable creation of large citation databases. References, typically appearing ...

    Xiaoli Zhang, Jie Zou, Daniel X Le and George R Thoma

    BMC Bioinformatics 2011 12(Suppl 3):S7

    Published on: 9 June 2011

  3. Research

    A system for de-identifying medical message board text

    There are millions of public posts to medical message boards by users seeking support and information on a wide range of medical conditions. It has been shown that these posts can be used to gain a greater und...

    Adrian Benton, Shawndra Hill, Lyle Ungar, Annie Chung, Charles Leonard, Cristin Freeman and John H Holmes

    BMC Bioinformatics 2011 12(Suppl 3):S2

    Published on: 9 June 2011