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Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots

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arxiv 2109.09420 v1 pith:NEY3HLGU submitted 2021-09-20 cs.CL

Jorge Ramírez , Auday Berro , Marcos Baez , Boualem Benatallah , Fabio Casati This is my paper · ORCID
classification cs.CL
keywords diverseparaphrasesapproachbotscrowdsourcingdiversitytask-orientedtraining
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A prominent approach to build datasets for training task-oriented bots is crowd-based paraphrasing. Current approaches, however, assume the crowd would naturally provide diverse paraphrases or focus only on lexical diversity. In this WiP we addressed an overlooked aspect of diversity, introducing an approach for guiding the crowdsourcing process towards paraphrases that are syntactically diverse.

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