Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots - Archive ouverte HAL Access content directly
Preprints, Working Papers, ... Year : 2022

Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots

Abstract

A prominent approach to build datasets for training taskoriented 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.
Fichier principal
Vignette du fichier
2109.09420.pdf (291.91 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03626692 , version 1 (31-03-2022)

Identifiers

Cite

Jorge Ramírez, Auday Berro, Marcos Baez, Boualem Benatallah, Fabio Casati. Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots. 2022. ⟨hal-03626692⟩
45 View
158 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More