Abstract
Named Entity recognition (NER) is a subtask of information extraction and information retrieval that automatically identify proper nouns in texts and classify into predefined categories of name types. This paper introduces the effort on identification and classification of Named Entities in written Myanmar scripts in a statistical way. A statistical approach for NER of Myanmar Language using one of the supervised machine learning approaches called Conditional Random Fields (CRF) has been proposed for this task.
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Acknowledgment
This work is partly supported by the ASEAN IVO Project “Open Collaboration for Developing and Using Asian Language Treebank”.
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Mo, H.M., Nwet, K.T., Soe, K.M. (2017). CRF-Based Named Entity Recognition for Myanmar Language. In: Pan, JS., Lin, JW., Wang, CH., Jiang, X. (eds) Genetic and Evolutionary Computing. ICGEC 2016. Advances in Intelligent Systems and Computing, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-319-48490-7_24
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DOI: https://doi.org/10.1007/978-3-319-48490-7_24
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