Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
36th (2022)
Session ID : 4D3-GS-6-03
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Named Entity Recognition Method for Document-Level Label Consistency
*Yu ASANOKen-ichi YOKOTE
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

When trying to recognize named entity for the purpose of anonymization of personal information and information extraction in documents, statistical approaches such as machine learning may be given different labels for the similar expressions. If the same label is desirable to consistently impart, by realizing the determination method, it is possible to improve the accuracy of labeling. This study proposes a method to determine the consistency of such named entities. In the experiment using the Extended named entity annotated corpora, the improvement of accuracy was confirmed from the baseline.

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© 2022 The Japanese Society for Artificial Intelligence
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