@inproceedings{enetcollect1,

title = {Designing a Prototype Architecture for Crowdsourcing Language Resources},

author = {Christos Rodosthenous and Verena Lyding and Alexander König and Jolita Horbacauskiene and Anisia Katinskaia and Umair ul Hassan and Nicos Isaak and Federico Sangati and Lionel Nicolas},

editor = {Thierry Declerck and John P. McCrae},

url = {http://ceur-ws.org/Vol-2402/paper4.pdf},

year  = {2019},

date = {2019-07-10},

booktitle = { Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK 2019)},

volume = {Vol-2402},

pages = {17--23},

publisher = {CEUR},

abstract = {We present an architecture for crowdsourcing 

language resources from language learners and a prototype implementation of it as a vocabulary trainer. The vocabulary trainer relies on lexical resources from the ConceptNet semantic network to generate exercises while using the learners' answers to improve the resources used for the exercise generation.},

keywords = {Commonsense Knowledge, ConceptNet, crowdsourcing, enetCollect, Knowledge Bases, Language learning, Language Resources, Lexicon},

pubstate = {published},

tppubtype = {inproceedings}

}