Mohd Yunus Sharum, M. T. Abdullah, M. N. Sulaiman, Masrah Azrifah Azmi Murad, Z. A. Z. Hamzah
{"title":"Name extraction for unstructured Malay text","authors":"Mohd Yunus Sharum, M. T. Abdullah, M. N. Sulaiman, Masrah Azrifah Azmi Murad, Z. A. Z. Hamzah","doi":"10.1109/ISCI.2011.5959017","DOIUrl":null,"url":null,"abstract":"Names are categorized as proper nouns. Identifying nouns in unstructured text is very challenging since the number is almost unlimited. Name recognition can be used for part-of-speech (POS) tagging or automatic term acquisition in natural language processing (NLP). In this paper we proposed a general approach to recognize names in Malay text. Using the proposed approach, we implement an application of free indexing for indexing names from a collection of Malay texts. Our evaluation shows that the application reach 92% precision score, 54% recall score, and F-score 68% in indexing names from news' articles.","PeriodicalId":166647,"journal":{"name":"2011 IEEE Symposium on Computers & Informatics","volume":"98 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Symposium on Computers & Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCI.2011.5959017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Names are categorized as proper nouns. Identifying nouns in unstructured text is very challenging since the number is almost unlimited. Name recognition can be used for part-of-speech (POS) tagging or automatic term acquisition in natural language processing (NLP). In this paper we proposed a general approach to recognize names in Malay text. Using the proposed approach, we implement an application of free indexing for indexing names from a collection of Malay texts. Our evaluation shows that the application reach 92% precision score, 54% recall score, and F-score 68% in indexing names from news' articles.
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