Mohd Yunus Sharum, M. T. Abdullah, M. N. Sulaiman, Masrah Azrifah Azmi Murad, Z. A. Z. Hamzah
{"title":"非结构化马来文文本的名称提取","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":"{\"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}","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}
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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