Development of the Clinical Corpus with Disease Name Annotation

Author:

Aramaki Eiji1,Wakamiya Shoko1,Yano Ken1,Nagai Hiroyuki12,Okahisa Taro12,Ito Kaoru1

Affiliation:

1. Nara Institute of Science and Technology

2. Kyoto University Graduate School of Human and Environmental Studies

Publisher

Association for Natural Language Processing

Reference11 articles.

1. Aramaki, E., Miura, Y., Tonoike, M., Ohkuma, T., Mashuichi, H., and Ohe, K. (2009). “Text2table: Medical Text Summarization System Based on Named Entity Recognition and Modality Identification.” In Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, pp. 185–192. Association for Computational Linguistics.

2. Aramaki, E., Morita, M., Kano, Y., and Ohkuma, T. (2014). “Overview of the NTCIR-11 MedNLP-2 Task.” In Proceedings of the 11th NTCIR Conference, pp. 147–154.

3. Aramaki, E., Morita, M., Kano, Y., and Ohkuma, T. (2016). “Overview of the NTCIR-12 MedNLPDoc Task.” In Proceedeings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, pp. 71–75.

4. Asahara, M. and Matsumoto, Y. (2003). “Japanese Named Entitiy Extraction with Redundant Morphological Analysis.” In Proceedings of HLT-NAACL 2003, pp. 8–15.

5. Bouchet, C., Bodenreider, O., and Kohler, F. (1998). “Integration of the Analytical and Alphabetical ICD10 in a Coding Help System. Proposal of a Theoretical Model for the ICD Representation.” Medinfo 1998, 9 (1), pp. 176–179.

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