@inproceedings{morza-etal-2022-assessing,
title = "Assessing the Quality of an {I}talian Crowdsourced Idiom Corpus:the Dodiom Experiment",
author = "Morza, Giuseppina and
Manna, Raffaele and
Monti, Johanna",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.446",
pages = "4205--4211",
abstract = "This paper describes how idiom-related language resources, collected through a crowdsourcing experiment carried out by means of Dodiom, a Game-with-a-purpose, have been analysed by language experts. The paper focuses on the criteria adopted for the data annotation and evaluation process. The main scope of this project is, indeed, the evaluation of the quality of the linguistic data obtained through a crowdsourcing project, namely to assess if the data provided and evaluated by the players who joined the game are actually considered of good quality by the language experts. Finally, results of the annotation and evaluation processes as well as future work are presented.",
}
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%0 Conference Proceedings
%T Assessing the Quality of an Italian Crowdsourced Idiom Corpus:the Dodiom Experiment
%A Morza, Giuseppina
%A Manna, Raffaele
%A Monti, Johanna
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F morza-etal-2022-assessing
%X This paper describes how idiom-related language resources, collected through a crowdsourcing experiment carried out by means of Dodiom, a Game-with-a-purpose, have been analysed by language experts. The paper focuses on the criteria adopted for the data annotation and evaluation process. The main scope of this project is, indeed, the evaluation of the quality of the linguistic data obtained through a crowdsourcing project, namely to assess if the data provided and evaluated by the players who joined the game are actually considered of good quality by the language experts. Finally, results of the annotation and evaluation processes as well as future work are presented.
%U https://aclanthology.org/2022.lrec-1.446
%P 4205-4211
Markdown (Informal)
[Assessing the Quality of an Italian Crowdsourced Idiom Corpus:the Dodiom Experiment](https://aclanthology.org/2022.lrec-1.446) (Morza et al., LREC 2022)
ACL