An Experiment on Implicitly Crowdsourcing Expert Knowledge about Romanian Synonyms from Language Learners

no code implementations • NLP4CALL (NoDaLiDa) 2021 • Lionel Nicolas, Lavinia Nicoleta Aparaschivei, Verena Lyding, Christos Rodosthenous, Federico Sangati, Alexander König, Corina Forascu

Substituto – A Synchronous Educational Language Game for Simultaneous Teaching and Crowdsourcing

no code implementations • NLP4CALL (COLING) 2020 • Marianne Grace Araneta, Gülşen Eryiğit, Alexander König, Ji-Ung Lee, Ana Luís, Verena Lyding, Lionel Nicolas, Christos Rodosthenous, Federico Sangati

Using Crowdsourced Exercises for Vocabulary Training to Expand ConceptNet

no code implementations • LREC 2020 • Christos Rodosthenous, Verena Lyding, Federico Sangati, Alex K{\"o}nig, er, Umair ul Hassan, Lionel Nicolas, Jolita Horbacauskiene, Anisia Katinskaia, Lavinia Aparaschivei

In this work, we report on a crowdsourcing experiment conducted using the V-TREL vocabulary trainer which is accessed via a Telegram chatbot interface to gather knowledge on word relations suitable for expanding ConceptNet.

Chatbot

Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning

no code implementations • LREC 2020 • Lionel Nicolas, Verena Lyding, Claudia Borg, Corina Forascu, Kar{\"e}n Fort, Katerina Zdravkova, Iztok Kosem, Jaka {\v{C}}ibej, {\v{S}}pela Arhar Holdt, Alice Millour, Alex K{\"o}nig, er, Christos Rodosthenous, Federico Sangati, Umair ul Hassan, Anisia Katinskaia, Anabela Barreiro, Lavinia Aparaschivei, Yaakov HaCohen-Kerner

We introduce in this paper a generic approach to combine implicit crowdsourcing and language learning in order to mass-produce language resources (LRs) for any language for which a crowd of language learners can be involved.

v-trel: Vocabulary Trainer for Tracing Word Relations - An Implicit Crowdsourcing Approach

no code implementations • RANLP 2019 • Verena Lyding, Christos Rodosthenous, Federico Sangati, Umair ul Hassan, Lionel Nicolas, Alex K{\"o}nig, er, Jolita Horbacauskiene, Anisia Katinskaia

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.

Web-STAR: A Visual Web-Based IDE for a Story Comprehension System

no code implementations • 28 Jul 2018 • Christos Rodosthenous, Loizos Michael

We present Web-STAR, an online platform for story understanding built on top of the STAR reasoning engine for STory comprehension through ARgumentation.

Web-STAR: Towards a Visual Web-Based IDE for a Story Comprehension System

no code implementations • 20 Jun 2017 • Christos Rodosthenous, Loizos Michael

In this work, we present Web-STAR, an online platform for story understanding built on top of the STAR (STory comprehension through ARgumentation) reasoning engine.