{"title":"nutIE -一个现代的开源自然语言处理工具包","authors":"Slavko Žitnik, D. Drašković, B. Nikolić, M. Bajec","doi":"10.1109/TELFOR.2017.8249486","DOIUrl":null,"url":null,"abstract":"Nowadays, there are many tools and applications available that use novel machine learning algorithms, but only few tools exist that bridge the gap between the computer scientists and general public. The latter especially holds for the field of natural language processing. Therefore in this paper we present a new information extraction toolkit, called nutIE, that offers a frontend for end-to-end text analysis using a modern javascript-based web application. The core of the toolkit includes all the high-level information extraction techniques with supporting preprocessing and evaluation methods. All these can be accessed by a Scala programmatic API or an arbitrary third-party application via REST interface. It has already been shown that the integrated toolkit's algorithms achieve state-of-the art results. The toolkit is currently applied at international text processing projects and courses.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"nutIE — A modern open source natural language processing toolkit\",\"authors\":\"Slavko Žitnik, D. Drašković, B. Nikolić, M. Bajec\",\"doi\":\"10.1109/TELFOR.2017.8249486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, there are many tools and applications available that use novel machine learning algorithms, but only few tools exist that bridge the gap between the computer scientists and general public. The latter especially holds for the field of natural language processing. Therefore in this paper we present a new information extraction toolkit, called nutIE, that offers a frontend for end-to-end text analysis using a modern javascript-based web application. The core of the toolkit includes all the high-level information extraction techniques with supporting preprocessing and evaluation methods. All these can be accessed by a Scala programmatic API or an arbitrary third-party application via REST interface. It has already been shown that the integrated toolkit's algorithms achieve state-of-the art results. The toolkit is currently applied at international text processing projects and courses.\",\"PeriodicalId\":422501,\"journal\":{\"name\":\"2017 25th Telecommunication Forum (TELFOR)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 25th Telecommunication Forum (TELFOR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELFOR.2017.8249486\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 25th Telecommunication Forum (TELFOR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELFOR.2017.8249486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
nutIE — A modern open source natural language processing toolkit
Nowadays, there are many tools and applications available that use novel machine learning algorithms, but only few tools exist that bridge the gap between the computer scientists and general public. The latter especially holds for the field of natural language processing. Therefore in this paper we present a new information extraction toolkit, called nutIE, that offers a frontend for end-to-end text analysis using a modern javascript-based web application. The core of the toolkit includes all the high-level information extraction techniques with supporting preprocessing and evaluation methods. All these can be accessed by a Scala programmatic API or an arbitrary third-party application via REST interface. It has already been shown that the integrated toolkit's algorithms achieve state-of-the art results. The toolkit is currently applied at international text processing projects and courses.