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Creating Expert Knowledge by Relying on Language Learners: A Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning

AuthID
P-00T-31T

Author(s)

Nicolas, L

Lyding, V

Borg, C

Forascu, C

Fort, K

Zdravkova, K

Kosem, I

Cibej, J

Holdt, ŠA

Millour, A

König, A

Rodosthenous, C

Sangati, F

Ul Hassan, U

Katinskaia, A

Barreiro, A

Aparaschivei, L

HaCohen Kerner, Y

Editor(s)

Calzolari N.Bechet F.Blache P.Choukri K.Cieri C.Declerck T.Goggi S.Isahara H.Maegaard B.Mariani J.Mazo H.Moreno A.Odijk J.Piperidis S.

Document Type

Proceedings Paper

Year published

2020

Published

in LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings

Pages: 268-278

Conference

12Th International Conference on Language Resources and Evaluation, Lrec 2020, Date: 11 May 2020 through 16 May 2020, Sponsors: Amazon AWS;Bertin;Lenovo;Ontotex;Vecsys;Vocapia

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Scopus^®

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Publication Identifiers

Scopus: 2-s2.0-85096538604

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Creating Expert Knowledge by Relying on Language Learners: A Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning

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Creating Expert Knowledge by Relying on Language Learners: A Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning

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