Work Hard, Play Hard: Collecting Acceptability Annotations through a 3D Game

Federico Bonetti, Elisa Leonardelli, Daniela Trotta, Raffaele Guarasci, Sara Tonelli


Abstract
Corpus-based studies on acceptability judgements have always stimulated the interest of researchers, both in theoretical and computational fields. Some approaches focused on spontaneous judgements collected through different types of tasks, others on data annotated through crowd-sourcing platforms, still others relied on expert annotated data available from the literature. The release of CoLA corpus, a large-scale corpus of sentences extracted from linguistic handbooks as examples of acceptable/non acceptable phenomena in English, has revived interest in the reliability of judgements of linguistic experts vs. non-experts. Several issues are still open. In this work, we contribute to this debate by presenting a 3D video game that was used to collect acceptability judgments on Italian sentences. We analyse the resulting annotations in terms of agreement among players and by comparing them with experts’ acceptability judgments. We also discuss different game settings to assess their impact on participants’ motivation and engagement. The final dataset containing 1,062 sentences, which were selected based on majority voting, is released for future research and comparisons.
Anthology ID:
2022.lrec-1.185
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
1740–1750
Language:
URL:
https://aclanthology.org/2022.lrec-1.185
DOI:
Bibkey:
Cite (ACL):
Federico Bonetti, Elisa Leonardelli, Daniela Trotta, Raffaele Guarasci, and Sara Tonelli. 2022. Work Hard, Play Hard: Collecting Acceptability Annotations through a 3D Game. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 1740–1750, Marseille, France. European Language Resources Association.
Cite (Informal):
Work Hard, Play Hard: Collecting Acceptability Annotations through a 3D Game (Bonetti et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.185.pdf
Code
 dhfbk/itacola-dataset
Data
GLUEItaCoLA