Real Life Application of a Question Answering System Using BERT Language Model

Francesca Alloatti, Luigi Di Caro, Gianpiero Sportelli


Abstract
It is often hard to apply the newest advances in research to real life scenarios. They usually require the resolution of some specific task applied to a restricted domain, all the while providing small amounts of data to begin with. In this study we apply one of the newest innovations in Deep Learning to a task of text classification. We created a question answering system in Italian that provides information about a specific subject, e-invoicing and digital billing. Italy recently introduced a new legislation about e-invoicing and people have some legit doubts, therefore a large share of professionals could benefit from this tool.
Anthology ID:
W19-5930
Volume:
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
Month:
September
Year:
2019
Address:
Stockholm, Sweden
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
250–253
Language:
URL:
https://aclanthology.org/W19-5930
DOI:
10.18653/v1/W19-5930
Bibkey:
Cite (ACL):
Francesca Alloatti, Luigi Di Caro, and Gianpiero Sportelli. 2019. Real Life Application of a Question Answering System Using BERT Language Model. In Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, pages 250–253, Stockholm, Sweden. Association for Computational Linguistics.
Cite (Informal):
Real Life Application of a Question Answering System Using BERT Language Model (Alloatti et al., SIGDIAL 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-5930.pdf