Call For Papers

The First Workshop on Natural Language Processing for Medical and Healthcare Fields

In medical and healthcare fields, there are a lot of unstructured and text data of valuable information, such as patient status and medication. Recently, more and more medical and healthcare texts in an electronic format have become available. For example, on one hand, many medical records are now written in an electronic format in place of paper format. On the other hand, a large number of people who are suffering from disease have been describing and discussing their health conditions with supporters on the Internet. This trend leads to high demand of providing an information processing technique in these fields. Extracting knowledge from these medical and healthcare text can bring advantages to medical and clinical research, drug development, and our daily healthcare.
In this workshop, by focusing on the analyses of text data from medical and healthcare fields, this workshop collectively discusses the following issues related to these fields:
  • What kind of information is written in medical health records and what type of knowledge do medical professionals utilize when keeping these records
  • How we can extract valuable information and knowledge from medical and healthcare text
  • What we can do with extracted information and knowledge from medical and healthcare text
Important Dates
        June 7, 2013: Proposed paper submission due date Extended to June 18, 2013
        July 29, 2013: Proposed notification of acceptance Extended to Aug 12, 2013
        Aug 14, 2013: Accepted Ppaer List is available
        Aug 23, 2013: Camera-ready deadline
        Oct 18, 2013: Workshops

    Submission Information
    We solicit submissions of 2 to 8 pages, which should be prepared according to the ACL 2013 format. All accepted submissions will be presented as posters, and a subset of them may be considered for oral presentation. Submissions reporting work in progress are acceptable, as we aim for the workshop to offer a venue for stimulating discussions.
    Submission will be performed through START and will be available starting May 10, 2013.


    Program

    9:30–9:40         Opening Remarks

    9:40-10:00 Incorporating Knowledge Resources to Enhance Medical Information Extraction
                            Yasuhide Miura, Tomoko Ohkuma, Hiroshi Masuichi, Emiko Yamada Shinohara, Eiji Aramaki and Kazuhiko Ohe

    10:00-10:20 Clinical vocabulary and Clinical finding concepts 
                            Takashi Okumura, Eiji ARAMAKI and Yuka Tateisi

    10:20-10:40 Developing ML-based Systems to Extract Medical Information from Japanese Medical History Summaries
                     Shohei Higashiyama, Kazuhiro Seki and Kuniaki Uehara

    10:40-11:00 Towards High-Reliability Speech Translation in the Medical Domain
                            Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura and Yuji Matsumoto

    11:00-11:15 Finding Every Medical Terms by Life Science Dictionary for MedNLP
                            Shuj Kaneko, Nobuyuki Fujita and Hiroshi Ohtake

    11:15-11:30 Proper and Efficient Treatment of Anaphora and Long-Distance Dependency in Context-Free Grammar
                            Wailok Tam, Koiti Hasida, Yusuke Matsubara, Eiji Aramaki, Mai Miyabe, Motoyuki Takaai, Hirosi Uozaki and Yo Sato

    11:30-11:45 A Comparison of Rule-Based and Machine Learning Methods for Medical Information Extraction
                            Osamu Imaichi, Toshihiko Yanase and Yoshiki Niwa

    11:45-12:00 Electronic Health Record Aiming to Clinical Study Information Hub 
                            Naoto Kume, Kazuya Okamoto, Tomohiro Kuroda and Hiroyuki Yoshihara

    Accepted Paper List
     
    (Long Paper)
    Incorporating Knowledge Resources to Enhance Medical Information Extraction 
    Yasuhide Miura, Tomoko Ohkuma, Hiroshi Masuichi, Emiko Yamada Shinohara, Eiji Aramaki and Kazuhiko Ohe

    Clinical vocabulary and Clinical finding concepts 
    Takashi Okumura, Eiji ARAMAKI and Yuka Tateisi

    Developing ML-based Systems to Extract Medical Information from Japanese Medical History Summaries 
    Shohei Higashiyama, Kazuhiro Seki and Kuniaki Uehara

    Towards High-Reliability Speech Translation in the Medical Domain 
    Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura and Yuji Matsumoto

    (Short Paper)
    Finding Every Medical Terms by Life Science Dictionary for MedNLP 
    Shuji Kaneko

    Proper and Efficient Treatment of Anaphora and Long-Distance Dependency in Context-Free Grammar 
    Wailok Tam, Koiti Hasida, Yusuke Matsubara, Eiji Aramaki, Mai Miyabe, Motoyuki Takaai, Hirosi Uozaki and Yo Sato

    A Comparison of Rule-Based and Machine Learning Methods for Medical Information Extraction 
    Osamu Imaichi

    Electronic Health Record Aiming to Clinical Study Information Hub 
    Naoto Kume, Kazuya Okamoto, Tomohiro Kuroda and Hiroyuki Yoshihara

    Program Committee
    • Eiji Aramaki, Kyoto University, Japan. [Chair]
    • Mizuki Morita, The University of Tokyo, Japan. [Chair]
    • Yuki Arase, MicroSoft Research Asia, China.
    • Eric Chang, MicroSoft Research Asia, China.
    • Nigel H. Collier, National Institute of Informatics, Japan.
    • Son Doan, University of California San Diego, USA.
    • Yoshinobu Kano, JST, Japan.
    • Mai Miyabe, The University of Tokyo, Japan.
    • Takashi Okumura, National Institute of Public Health, Japan.
    • Hoifung Poon, MicroSoft Research, USA. 
    • Ozlem Uzuner, SUNY Albany, USA.
    ċ
    CFP_v3.txt
    (3k)
    Eiji ARAMAKI,
    Jun 10, 2013, 5:12 AM