Pregled bibliografske jedinice broj: 1176852
Learnersourcing in Humanities and Social Sciences
Learnersourcing in Humanities and Social Sciences // ICERI2021 Proceedings / Gómez Chova, Luis ; López Martínez, Agustín ; Candel Torres, Ignacio (ur.).
Valencia: IATED Academy, 2021. str. 861-866 doi:10.21125/iceri.2021.0265 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1176852 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Learnersourcing in Humanities and Social Sciences
Autori
Mikelić Preradović, Nives ; Pandurang Thakkar, Gaurish ; Simeon, Ivana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
ICERI2021 Proceedings
/ Gómez Chova, Luis ; López Martínez, Agustín ; Candel Torres, Ignacio - Valencia : IATED Academy, 2021, 861-866
ISBN
978-84-09-34549-6
Skup
14th International Conference of Education, Research and Innovation (ICERI 2021)
Mjesto i datum
Valencia, Španjolska, 08.11.2021. - 09.11.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
learnersourcing ; crowdsourcing ; sentiment analysis ; natural language processing ; language datasets ; annotation
Sažetak
This paper presents the results of learnersourcing in a multidisciplinary setting, where Linguistics students (Humanities) and students of Information Sciences (Social Sciences) engaged in a sentiment annotation task. The student evaluations of a task, the learnersourcing platform and student motivation are also presented. The learnersourcing task was connected to learning goals of three academic courses (Language Engineering, Translator and the Computer and Corpus Linguistics). A total of 62 students between the age of 22 to 24 participated in a learnersourcing task marking Croatian movie review sentences (~5000 sentences per student) with five categories of coarse sentiment. They also participated in a machine translation (MT) evaluation task consisting of a comprehension test and rating of MT output, as well as in an exercise involving error quantification and classification in sample texts written in several languages and translated by machine into Croatian.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
EK-H2020-812997 - Cross-lingual Event-centric Open Analytics Research Academy (Cleopatra) (Tadić, Marko, EK - H2020-MSCA-ITN-2018) ( CroRIS)
Ustanove:
Filozofski fakultet, Zagreb