Volume 12, supplement issue 3, December 2011

Machine Learning for Biomedical Literature Analysis and Text Retrieval

Issue editors

Lana Yeganova
Rezarta Islamaj Dogan

8 articles in this issue

Topics in machine learning for biomedical literature analysis and text retrieval

Authors
- Rezarta Islamaj Doğan
- Lana Yeganova
- Content type: Introduction
- Open Access
- Published: 09 June 2011
- Article: I1
A context-blocks model for identifying clinical relationships in patient records

Authors
- Rezarta Islamaj Doğan
- Aurélie Névéol
- Zhiyong Lu
- Content type: Research
- Open Access
- Published: 09 June 2011
- Article: S3
Collocation analysis for UMLS knowledge-based word sense disambiguation

Authors
- Antonio Jimeno-Yepes
- Bridget T Mclnnes
- Alan R Aronson
- Content type: Research
- Open Access
- Published: 09 June 2011
- Article: S4
Improving a gold standard: treating human relevance judgments of MEDLINE document pairs

Authors
- W John Wilbur
- Won Kim
- Content type: Research
- Open Access
- Published: 09 June 2011
- Article: S5
Machine learning with naturally labeled data for identifying abbreviation definitions

Authors
- Lana Yeganova
- Donald C Comeau
- W John Wilbur
- Content type: Research
- Open Access
- Published: 09 June 2011
- Article: S6
A structural SVM approach for reference parsing

Authors (first, second and last of 4)
- Xiaoli Zhang
- Jie Zou
- George R Thoma
- Content type: Research
- Open Access
- Published: 09 June 2011
- Article: S7
Building a biomedical tokenizer using the token lattice design pattern and the adapted Viterbi algorithm

Authors
- Neil Barrett
- Jens Weber-Jahnke
- Content type: Research
- Open Access
- Published: 09 June 2011
- Article: S1
A system for de-identifying medical message board text

Authors (first, second and last of 7)
- Adrian Benton
- Shawndra Hill
- John H Holmes
- Content type: Research
- Open Access
- Published: 09 June 2011
- Article: S2

Volume 12, supplement issue 3, December 2011

Machine Learning for Biomedical Literature Analysis and Text Retrieval

Topics in machine learning for biomedical literature analysis and text retrieval

A context-blocks model for identifying clinical relationships in patient records

Collocation analysis for UMLS knowledge-based word sense disambiguation

Improving a gold standard: treating human relevance judgments of MEDLINE document pairs

Machine learning with naturally labeled data for identifying abbreviation definitions

A structural SVM approach for reference parsing

Building a biomedical tokenizer using the token lattice design pattern and the adapted Viterbi algorithm

A system for de-identifying medical message board text

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Volume 12, supplement issue 3, December 2011

Machine Learning for Biomedical Literature Analysis and Text Retrieval

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Authors

Authors

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Authors (first, second and last of 4)

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Authors (first, second and last of 7)

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