This is a list of 100 important natural language processing (NLP) papers that serious students and researchers working in the field should probably know about and read.
When using bibliometrics for research evaluation, the classification of research fields is an issue of great importance. The purpose of this paper is to outline a brief theoretical framework for analysing the role of classification in research evaluation practices. Taking departure in the concept of ‘boundary objects’ we develop a theoretical framework for analyses of how scientific publications negotiate between different social worlds. Moreover, by adding the perspective of large evaluative infrastructures our study seeks to highlight tensions between local practices and global standards. One scientific article was analysed in terms of the different ways it can be classified on author and affiliation levels, on a documental level, and on a bureaucratic level. Publications are boundary objects residing between social worlds: the context of communication and the context of evaluation. Tensions between social worlds become apparent in infrastructures, which aims to serve the demands both of communication and of evaluation.
IRU publications set out the need for change in response to major issues affecting higher education. The IRU provides a set of considered actions in response for government, public and universities to take up.
Le serveur HAL Thèses a pour objectif de promouvoir l'auto-archivage en ligne des thèses de doctorat et habilitations à diriger des recherches (HDR), qui sont des documents importants pour la communication scientifique entre chercheurs. HAL Thèses est un environnement particulier de HAL et permet donc, comme HAL, de rendre rapidement et gratuitement disponibles des documents scientifiques, mais en se spécialisant aux thèses de doctorat et HDR. Le CCSD n'effectue aucune évaluation scientifique des thèses ou habilitations déposées, puisque c'est le rôle du jury.
R. Kamath, R. Kamat, and S. Pujar. CORRELATING R & D EXPENDITURE AND SCHOLARLY PUBLICATION OUTPUT USING K-MEANS CLUSTERING, 05 (01):
01- 07(February 2017)
O. Zagovora, K. Weller, M. Janosov, C. Wagner, and I. Peters. (2018)cite arxiv:1809.06299Comment: Paper presented at 23rd International Conference on Science and Technology Indicators (STI 2018) in Leiden, The Netherlands.
G. Guyatt, R. Haynes, R. Jaeschke, D. Cook, L. Green, C. Naylor, M. Wilson, and W. Richardson. JAMA : the journal of the American Medical Association, 284 (10):
1290-6(September 2000)7490<m:linebreak></m:linebreak>LR: 20071115; JID: 7501160; CIN: JAMA. 2000 Dec 27;284(24):3127-8. PMID: 11135773; ppublish;<m:linebreak></m:linebreak>EBM.
C. Boonacker, A. Hoes, K. van Liere-Visser, A. Schilder, and M. Rovers. American journal of epidemiology, 174 (2):
219-25(July 2011)6263<m:linebreak></m:linebreak>JID: 7910653; aheadofprint;<m:linebreak></m:linebreak>Comparacions múltiples.
J. du Prel, B. Röhrig, G. Hommel, and M. Blettner. Deutsches Ärzteblatt international, 107 (19):
343-8(May 2010)20532129<m:linebreak></m:linebreak> <m:linebreak></m:linebreak>JID: 101475967; OID: NLM: PMC2881615; 2009/10/14 received; 2010/02/22 accepted; 2010/05/14 epublish; ppublish;<m:linebreak></m:linebreak> <m:linebreak></m:linebreak>Anàlisi de dades.
K. Ng, and W. Peh. Singapore medical journal, 49 (11):
856-8; quiz 859(November 2008)5238<m:linebreak></m:linebreak>JID: 0404516; ppublish;<m:linebreak></m:linebreak>Publicació.