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Volume 20 Supplement 1

Selected Articles from the BioCreative/OHNLP Challenge 2018 - Part 2


Publication of this supplement was funded by National Institute of Health, National Institute of General Medical Sciences R01-GM102282 and National Center for Advancing Translational Sciences U01TR02062. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Washington, D.C., USA29 August-01 September 2018

Edited by Sijia Liu, Yanshan Wang and Hongfang Liu

Conference website

  1. Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and mod...

    Authors: Qingyu Chen, Jingcheng Du, Sun Kim, W. John Wilbur and Zhiyong Lu
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 1):73
  2. Semantic textual similarity (STS) is a fundamental natural language processing (NLP) task which can be widely used in many NLP applications such as Question Answer (QA), Information Retrieval (IR), etc. It is ...

    Authors: Ying Xiong, Shuai Chen, Haoming Qin, He Cao, Yedan Shen, Xiaolong Wang, Qingcai Chen, Jun Yan and Buzhou Tang
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 1):72

Annual Journal Metrics

  • 2022 Citation Impact
    3.5 - 2-year Impact Factor
    3.9 - 5-year Impact Factor
    1.384 - SNIP (Source Normalized Impact per Paper)
    0.940 - SJR (SCImago Journal Rank)

    2023 Speed
    37 days submission to first editorial decision for all manuscripts (Median)
    213 days submission to accept (Median)

    2023 Usage 
    2,443 Altmetric mentions 

Peer-review Terminology

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    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

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