2004 TermIdentificationInTheBiomedLit

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Subject Headings: Term Mention Recognition Task, Term Mention Classification Task, Term Mention Mapping Task.

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Cited By

2006

2005

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Author Keywords

Term identification; Term recognition; Term classification; Term mapping; Acronym recognition; Biomedical literature

Abstract

Sophisticated information technologies are needed for effective data acquisition and integration from a growing body of the biomedical literature. Successful term identification is key to getting access to the stored literature information, as it is the terms (and their relationships) that convey knowledge across scientific articles. Due to the complexities of a dynamically changing biomedical terminology, term identification has been recognized as the current bottleneck in text mining, and — as a consequence — has become an important research topic both in natural language processing and biomedical communities. This article overviews state-of-the-art approaches in term identification. The process of identifying terms is analysed through three steps: term recognition, term classification, and term mapping. For each step, main approaches and general trends, along with the major problems, are discussed. By assessing previous work in context of the overall term identification process, the review also tries to delineate needs for future work in the field.

Article Outline

1. Introduction
2. Term identification task
2.1. Term recognition
2.1.1. Dictionary-based approaches
2.1.2. Rule-based approaches
2.1.3. Machine-learning and statistical approaches
2.1.4. Hybrid approaches
2.1.5. Acronym recognition
2.2. Term classification
2.3. Term mapping
2.3.1. Handling term variability
2.3.2. Handling term ambiguity
3. Conclusions and challenges
Acknowledgements
References


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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2004 TermIdentificationInTheBiomedLitMichael Krauthammer
Goran Nenadic		Term Identification in the Biomedical LiteratureJournal of Biomedical Informaticshttp://personalpages.manchester.ac.uk/staff/G.Nenadic/papers\Krauthammer Nenadic pre print.pdf10.1016/j.jbi.2004.08.0042004
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