h1

h2

h3

h4

h5
h6


001     1005662
005     20250929103454.0
024 7 _ |2 ISSN
|a 2212-8271
024 7 _ |2 SCOPUS
|a SCOPUS:2-s2.0-85208788327
024 7 _ |2 WOS
|a WOS:001502028600056
024 7 _ |2 datacite_doi
|a 10.18154/RWTH-2025-01917
024 7 _ |2 doi
|a 10.1016/j.procir.2024.06.027
037 _ _ |a RWTH-2025-01917
041 _ _ |a English
082 _ _ |a 670
100 1 _ |0 P:(DE-82)IDM00379
|a Riesener, Michael
|b 0
|u rwth
111 2 _ |a 34. CIRP Design Conference
|c Bedfordshire
|d 2024-06-03 - 2024-06-05
|w UK
245 _ _ |a Active Learning with Pre-trained Language Models for Named Entity Recognition in Requirements Engineering
|h online
260 _ _ |a Amsterdam [u.a.]
|b Elsevier
|c 2024
336 7 _ |0 0
|2 EndNote
|a Journal Article
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
|b journal
|m journal
336 7 _ |0 PUB:(DE-HGF)8
|2 PUB:(DE-HGF)
|a Contribution to a conference proceedings
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 DRIVER
|a article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
588 _ _ |a Dataset connected to CrossRef, Journals: publications.rwth-aachen.de
591 _ _ |a Germany
591 _ _ |a USA
653 _ 7 |a Language Model
653 _ 7 |a Named Entity Recognition
653 _ 7 |a Query Strategy
653 _ 7 |a Requirements Engineering
700 1 _ |0 P:(DE-82)070281
|a Kuhn, M.
|b 1
|u rwth
700 1 _ |0 P:(DE-82)IDM06039
|a Schümmelfeder, Sven
|b 2
|e Corresponding author
|u rwth
700 1 _ |0 P:(DE-82)994205
|a Xiao, Dekai
|b 3
|u rwth
700 1 _ |a Norheim, Johannes J.
|b 4
700 1 _ |a Rebentisch, Eric
|b 5
700 1 _ |0 P:(DE-82)IDM00801
|a Schuh, Günther
|b 6
|u rwth
770 _ _ |a 34th CIRP Design Conference / edited by John Ahmet Erkoyuncu (Dr.), Maryam Farsi (Dr.), Pavan Addepalli (Dr.)
773 _ _ |0 PERI:(DE-600)2674706-6
|a 10.1016/j.procir.2024.06.027
|p 339-344
|t Procedia CIRP
|v 128
|x 2212-8271
|y 2024
856 4 _ |u https://publications.rwth-aachen.de/record/1005662/files/1005662.pdf
|y OpenAccess
909 C O |o oai:publications.rwth-aachen.de:1005662
|p openaire
|p open_access
|p driver
|p dnbdelivery
|p VDB
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM00379
|a RWTH Aachen
|b 0
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)070281
|a RWTH Aachen
|b 1
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM06039
|a RWTH Aachen
|b 2
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)994205
|a RWTH Aachen
|b 3
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM00801
|a RWTH Aachen
|b 6
|k RWTH
914 1 _ |y 2024
915 1 _ |0 StatID:(DE-HGF)0031
|2 StatID
|a Peer reviewed article
|x 0
915 _ _ |0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
|a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
915 _ _ |0 StatID:(DE-HGF)0200
|2 StatID
|a DBCoverage
|b SCOPUS
|d 2024-12-27
915 _ _ |0 StatID:(DE-HGF)0300
|2 StatID
|a DBCoverage
|b Medline
|d 2024-12-27
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
920 1 _ |0 I:(DE-82)417200_20140620
|k 417200
|l Werkzeugmaschinenlabor WZL der RWTH Aachen
|x 0
920 1 _ |0 I:(DE-82)417210_20140620
|k 417210
|l Lehrstuhl für Produktionssystematik
|x 1
920 1 _ |0 I:(DE-82)416850_20241211
|k 416850
|l Forschungsgebiet Deep Tech Innovation
|x 2
920 1 _ |0 I:(DE-82)053200_20140620
|k 053200
|l Fraunhofer-Institut für Produktionstechnologie - IPT
|x 3
980 1 _ |a FullTexts
980 _ _ |a I:(DE-82)053200_20140620
980 _ _ |a I:(DE-82)416850_20241211
980 _ _ |a I:(DE-82)417200_20140620
980 _ _ |a I:(DE-82)417210_20140620
980 _ _ |a UNRESTRICTED
980 _ _ |a VDB
980 _ _ |a contrib
980 _ _ |a journal


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21