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
- Editors:
- Satoshi Nakamura, Milica Gasic, Ingrid Zuckerman, Gabriel Skantze, Mikio Nakano, Alexandros Papangelis, Stefan Ultes, Koichiro Yoshino
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W19-5930.pdf