{"title":"A Comparative Study of Named Entity Recognition for Telugu","authors":"SaiKiranmai Gorla, N. B. Murthy, Aruna Malapati","doi":"10.1145/3158354.3158358","DOIUrl":null,"url":null,"abstract":"In this paper, we apply three classification learning algorithms to Telugu Named Entity Recognition (NER) task and we present a comparative study between these three learning algorithms on Telugu dataset (NER for South and South-East Asian Languages (NERSSEAL) Competition). The empirical results show that Support Vector Machine achieves the best F-measure of 54.78% on the dataset.","PeriodicalId":306212,"journal":{"name":"Proceedings of the 9th Annual Meeting of the Forum for Information Retrieval Evaluation","volume":"302 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th Annual Meeting of the Forum for Information Retrieval Evaluation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3158354.3158358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, we apply three classification learning algorithms to Telugu Named Entity Recognition (NER) task and we present a comparative study between these three learning algorithms on Telugu dataset (NER for South and South-East Asian Languages (NERSSEAL) Competition). The empirical results show that Support Vector Machine achieves the best F-measure of 54.78% on the dataset.
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