Using Crowdsourced Exercises for Vocabulary Training to Expand ConceptNet (2020.lrec-1)
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Christos Rodosthenous, Verena Lyding, Federico Sangati, Alexander König, Umair ul Hassan, Lionel Nicolas, Jolita Horbacauskiene, Anisia Katinskaia, Lavinia Aparaschivei
| Challenge: | Language resources (LRs) are expensive to create and maintain, and this makes it difficult to create or extend LRs. |
| Approach: | They propose to use a Telegram chatbot interface to gather knowledge on word relations suitable for expanding ConceptNet with new words. |
| Outcome: | The proposed model allows to gather 12,000 answers from learners on different question types over 16 days and shows that it is a potential tool for crowdsourcing and fostering vocabulary skills. |
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