@inproceedings{946f64727ac24453899918270c31b66b,
title = "V-Trel: Vocabulary trainer for tracing word relations - An implicit crowdsourcing approach",
abstract = "In this paper, we present our work on developing a vocabulary trainer that uses exercises generated from language resources such as ConceptNet and crowdsources the responses of the learners to enrich the language resource. We performed an empirical evaluation of our approach with 60 non-native speakers over two days, which shows that new entries to expand ConceptNet can efficiently be gathered through vocabulary exercises on word relations. We also report on the feedback gathered from the users and an expert from language teaching, and discuss the potential of the vocabulary trainer application from the user and language learner perspective. The feedback suggests that v-trel has educational potential, while in its current state some shortcomings could be identified.",
author = "Verena Lyding and Rodosthenous, \{Christos T.\} and Federico Sangati and \{Ul Hassan\}, Umair and Lionel Nicolas and Alexander K{\"o}nig and Jolita Horbacauskiene and Anisia Katinskaia",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computational Linguistics (ACL). All rights reserved.; 12th International Conference on Recent Advances in Natural Language Processing, RANLP 2019 ; Conference date: 02-09-2019 Through 04-09-2019",
year = "2019",
doi = "10.26615/978-954-452-056-4\_079",
language = "English",
series = "International Conference Recent Advances in Natural Language Processing, RANLP",
publisher = "Incoma Ltd",
pages = "674--683",
editor = "Galia Angelova and Ruslan Mitkov and Ivelina Nikolova and Irina Temnikova and Irina Temnikova",
booktitle = "International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings",
}