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Volume 9 Supplement 11

Proceedings of the BioNLP 08 ACL Workshop: Themes in biomedical language processing


Edited by Dina Demner-Fushman, K Bretonnel Cohen, Sophia Ananiadou, John Pestian, Jun'ichi Tsujii and Bonnie Webber

Natural Language Processing in Biomedicine (BioNLP) ACL Workshop 2008. Go to conference site.

Columbus, OH, USA19 June 2008

  1. Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach for this task. In contrast to earlier appr...

    Authors: Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter and Tapio Salakoski

    Citation: BMC Bioinformatics 2008 9(Suppl 11):S2

    Content type: Research

    Published on:

  2. The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order to support clinical research, evidence-ba...

    Authors: Angus Roberts, Robert Gaizauskas, Mark Hepple and Yikun Guo

    Citation: BMC Bioinformatics 2008 9(Suppl 11):S3

    Content type: Research

    Published on:

  3. When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological resources are available. Many researches on stati...

    Authors: Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught and Sophia Ananiadou

    Citation: BMC Bioinformatics 2008 9(Suppl 11):S5

    Content type: Research

    Published on:

  4. Like text in other domains, biomedical documents contain a range of terms with more than one possible meaning. These ambiguities form a significant obstacle to the automatic processing of biomedical texts. Pre...

    Authors: Mark Stevenson, Yikun Guo, Robert Gaizauskas and David Martinez

    Citation: BMC Bioinformatics 2008 9(Suppl 11):S7

    Content type: Research

    Published on:

  5. Detecting uncertain and negative assertions is essential in most BioMedical Text Mining tasks where, in general, the aim is to derive factual knowledge from textual data. This article reports on a corpus annot...

    Authors: Veronika Vincze, György Szarvas, Richárd Farkas, György Móra and János Csirik

    Citation: BMC Bioinformatics 2008 9(Suppl 11):S9

    Content type: Research

    Published on:

  6. Indexing is a crucial step in any information retrieval system. In MEDLINE, a widely used database of the biomedical literature, the indexing process involves the selection of Medical Subject Headings in order to...

    Authors: Aurélie Névéol, Sonya E Shooshan and Vincent Claveau

    Citation: BMC Bioinformatics 2008 9(Suppl 11):S11

    Content type: Research

    Published on:

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Annual Journal Metrics

  • Speed
    70 days to first decision for reviewed manuscripts only
    44 days to first decision for all manuscripts
    163 days from submission to acceptance
    36 days from acceptance to publication

    Citation Impact
    3.242 - 2-year Impact Factor
    3.213 - 5-year Impact Factor
    1.156 - Source Normalized Impact per Paper (SNIP)
    1.626 - SCImago Journal Rank (SJR)

    5089 Altmetric Mentions