@inproceedings{alloatti-etal-2019-real,
title = "Real Life Application of a Question Answering System Using {BERT} Language Model",
author = "Alloatti, Francesca and
Di Caro, Luigi and
Sportelli, Gianpiero",
booktitle = "Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue",
month = sep,
year = "2019",
address = "Stockholm, Sweden",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-5930",
doi = "10.18653/v1/W19-5930",
pages = "250--253",
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.",
}
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%0 Conference Proceedings
%T Real Life Application of a Question Answering System Using BERT Language Model
%A Alloatti, Francesca
%A Di Caro, Luigi
%A Sportelli, Gianpiero
%S Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
%D 2019
%8 sep
%I Association for Computational Linguistics
%C Stockholm, Sweden
%F alloatti-etal-2019-real
%X 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.
%R 10.18653/v1/W19-5930
%U https://aclanthology.org/W19-5930
%U https://doi.org/10.18653/v1/W19-5930
%P 250-253
Markdown (Informal)
[Real Life Application of a Question Answering System Using BERT Language Model](https://aclanthology.org/W19-5930) (Alloatti et al., 2019)
ACL