ATR4S: toolkit with state-of-the-art automatic terms recognition methods in Scala.
Automatically recognized terminology is widely used for various domain-specific texts processing tasks, such as machine translation, information retrieval or ontology construction. However, there is still no agreement on which methods are best suited for particular settings and, moreover, there is n...
| Publicado en: | Language Resources & Evaluation Vol. 52; no. 3; pp. 853 - 873 |
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| Formato: | Artículo |
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Springer Nature
Sep2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=131216686&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 131216686 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Sep2018 vid: 52 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 131216686 10.1007/s10579-017-9409-4 ppf: 853 ppct: 20 formats: fmt: – @attributes: type: T – @attributes: type: P size: 503KB tig: atl: ATR4S: toolkit with state-of-the-art automatic terms recognition methods in Scala. aug: au: Astrakhantsev, Nikita affil: Ivannikov Institute for System Programming of the Russian Academy of Sciences (ISP RAS), ul. Solzhenitsyna 25, 109004, Moscow, Russia su: Mathematical domains Open source software Text processing (Computer science) Machine translating Semantic networks (Information theory) sug: subj: Mathematical domains Open source software Text processing (Computer science) Machine translating Semantic networks (Information theory) keyword: Automatic term recognition Terminology extraction ab: Automatically recognized terminology is widely used for various domain-specific texts processing tasks, such as machine translation, information retrieval or ontology construction. However, there is still no agreement on which methods are best suited for particular settings and, moreover, there is no reliable comparison of already developed methods. We believe that one of the main reasons is the lack of state-of-the-art method implementations, which are usually non-trivial to recreate—mostly, in terms of software engineering efforts. In order to address these issues, we present ATR4S, an open-source software written in Scala that comprises 13 state-of-the-art methods for automatic terminology recognition (ATR) and implements the whole pipeline from text document preprocessing, to term candidates collection, term candidate scoring, and finally, term candidate ranking. It is highly scalable, modular and configurable tool with support of automatic caching. We also compare 13 state-of-the-art methods on 7 open datasets by average precision and processing time. Experimental comparison reveals that no single method demonstrates best average precision for all datasets and that other available tools for ATR do not contain the best methods. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2018. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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