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Grey Literature for Natural Language Processing: a Terminological and Statistical Approach. (Contributo in atti di convegno)

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Grey Literature for Natural Language Processing: a Terminological and Statistical Approach. (Contributo in atti di convegno) (literal)

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Cignoni L.; Pardelli G.; Sassi M. (2009)
Grey Literature for Natural Language Processing: a Terminological and Statistical Approach.
in Tenth International Conference on Grey Literature: Designing the Grey Grid for Information Society, Amsterdam, DEC 08-09, 2008
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ISI Web of Science (WOS) (Codice:000264705400010) Google Scholar (Codice:http://scholar.google.it/scholar?cites=7898910591977305850&as_sdt=2005&sciodt=0,5&hl=it) PuMa (Codice:cnr.ilc/2009-A2-003) OpenGrey (Codice:http://hdl.handle.net/10068/697993) La letteratura grigia LG prodotta nel settore del trattamento automatico della lingua in mezzo secolo di ricerche linguistico-computazionali viene indagata attraverso repository open access dedicati. In questo studio, termini vecchi e nuovi vengono messi a confronto; il cambiamento delle parole attraverso il tempo si snoda su una indicizzazione operata dal Sistema DBT Data Base Testuale (Brevetto CNR-ILC ). Dall'aggettivo dei primi anni '60 si arriva alla creazione di MWE come e . I termini della disciplina non solo più termini di nicchia come nel recente passato, ma sono diventati ancore di recupero informativo. Oggi essi circolano nelle fonti documentarie della rete telematica per arricchire la conoscenza del comune cittadino e offrire allo specialista ulteriori risorse da indagare e da confrontare per ulteriori ricerche. (literal)

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In: GL10 - Tenth International Conference on Grey Literature: Designing the Grey Grid for Information Society (Amsterdam, December 8-9 2008). Proceedings, vol. 10 pp. 93 - 100. Dominic J. Farace and Jerry Frantzen; GreyNet, Grey Literature Network Service (eds.). ((GL-Conference series, ISSN 1386-2316; No 10)). TextRelease, 2009. (literal)

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ABSTRACT: This paper presents the results of a study on grey literature (GL) in the field of Natural Language Processing (NLP). Our data has been collected in a corpus of ca 13,000 records corresponding to the titles of papers presented at International Conferences from 1950 to June 2008. A statistical representation of the most significant terms relative to GL in NLP and other interrelated disciplines associates old and new words, highlighting the terminological changes that have taken place in the course of time. Aim of our study is to contribute to the creation of language resources for the extraction of GL coming from the Web in order to help prevent the disappearance of documents containing NLP words that have undergone rapid development over the last decades. This paper is organised as follows: after a general introduction to our work, section 2 provides a historical overview of NLP; sections 3 and 4 offer an account of the most relevant terms used by specialists in different per (literal)

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Istituto di Linguistica Computazionale \"Antonio Zampolli\", CNR-ILC, Pisa, Italy (literal)

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Grey Literature for Natural Language Processing: a Terminological and Statistical Approach. (literal)

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Dominic J. Farace; Jerry Frantzen; GreyNet, Grey Literature Network Service (literal)

Abstract

This paper presents the results of a study on grey literature (GL) in the field of Natural Language Processing (NLP). Our data has been collected in a corpus of ca 13,000 records corresponding to the titles of papers presented at International Conferences from 1950 to June 2008. A statistical representation of the most significant terms relative to GL in NLP and other interrelated disciplines associates old and new words, highlighting the terminological changes that have taken place in the course of time. Aim of our study is to contribute to the creation of language resources for the extraction of GL coming from the Web in order to help prevent the disappearance of documents containing NLP words that have undergone rapid development over the last decades. This paper is organised as follows: after a general introduction to our work, section 2 provides a historical overview of NLP; sections 3 and 4 offer an account of the most relevant terms used by specialists in different periods, and indicative of the changes that have taken place; section 5 describes the methodology we have used and also contains information on our GL database and a graphical representation of the data. Finally, the conclusions stress the need to integrate pre-existing or obsolete words and expressions, creating NLP synonym relations. (literal)

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