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Automatically Language Patterns Elicitation from Biomedical Literature

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Advances in Computational Science, Engineering and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 225))

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Abstract

The amount of research articles being published over the years has been overwhelming and number continues to rise with each day. This rapid growth combined with the unstructured nature of text written in natural languages has created the need to develop tools and methods that aid the process of information extraction, making it more accessible and utilizable. In this work, we present an approach for language pattern acquisition from the biomedical literature. In our method, all possible patterns are generated (candidates’ enumeration), and those patterns which have a match in the training corpus are selected. Equipped with genes and proteins names glossaries plus keywords database, we achieved a recall rate of 52.2% with precision of 40.9%, identifying 321 gene ontology terms.

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Author information

Authors and Affiliations

  1. Computer Engineering School, Nanyang Technological University, Singapore, Singapore

    Seyed Ziaeddin Alborzi

Authors
  1. Seyed Ziaeddin Alborzi
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Correspondence to Seyed Ziaeddin Alborzi .

Editor information

Editors and Affiliations

  1. , Dept of Computer Engineering, KTO Karatay University, 130 Karatay, Konya, 42020, Turkey

    Dhinaharan Nagamalai

  2. , School of Computing and Informatics, University of Louisiana at Lafayette, 214 Oliver Hall, Lafayette, 70504-4330, Louisiana, USA

    Ashok Kumar

  3. , Dept. of Electrical &, Prairie View A&M University, Prairie View, 77446-0519, Texas, USA

    Annamalai Annamalai

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Alborzi, S.Z. (2013). Automatically Language Patterns Elicitation from Biomedical Literature. In: Nagamalai, D., Kumar, A., Annamalai, A. (eds) Advances in Computational Science, Engineering and Information Technology. Advances in Intelligent Systems and Computing, vol 225. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00951-3_15

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  • DOI: https://doi.org/10.1007/978-3-319-00951-3_15

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00950-6

  • Online ISBN: 978-3-319-00951-3

  • eBook Packages: EngineeringEngineering (R0)

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