@inproceedings{0e5c1c6a296242b6baed2c7d9d6d800e,
title = "A Semi-supervised Algorithm for Indonesian Named Entity Recognition",
abstract = "Named Entity Recognition or NER is one of the sub-research field of Information Extraction which can be used for machine translation, question answering, semantic web, etc. One of the biggest challenge of NER is the adversity to construct a manually labeled training data. In this work, we present a semi-supervised approach for Indonesian language NER which is capable of creating high quality training data automatically. Semi-supervised approach works by utilizing unlabeled data made from Wikipedia and DBPedia to form high accuracy and non-redundant additional training data for each iteration of semi-supervised process. We show that our system manages to generate new training data and gain an increasing F1 score as the iteration of semi-supervised process goes.",
keywords = "dbpedia, named entity recognition, semisupervised, stanford ner, wikipedia",
author = "Leonandya, {Rezka Aufar} and Bayu Distiawan and Praptono, {Nursidik Heru}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd International Symposium on Computational and Business Intelligence, ISCBI 2015 ; Conference date: 07-12-2015 Through 09-12-2015",
year = "2016",
month = jan,
day = "14",
doi = "10.1109/ISCBI.2015.15",
language = "English",
series = "Proceedings - 2015 3rd International Symposium on Computational and Business Intelligence, ISCBI 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "45--50",
editor = "Simon Fong and Suash Deb and Santoso, {Leo Willyanto}",
booktitle = "Proceedings - 2015 3rd International Symposium on Computational and Business Intelligence, ISCBI 2015",
address = "United States",
}