@inproceedings{miliani-etal-2020-fraque,
title = "{FRAQUE}: a {FRA}me-based {QUE}stion-answering system for the Public Administration domain",
author = "Miliani, Martina and
Passaro, Lucia C. and
Lenci, Alessandro",
booktitle = "Proceedings of the 1st Workshop on Language Technologies for Government and Public Administration (LT4Gov)",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lt4gov-1.2",
pages = "7--14",
abstract = "In this paper, we propose FRAQUE, a question answering system for factoid questions in the Public administration domain. The system is based on semantic frames, here intended as collections of slots typed with their possible values. FRAQUE queries unstructured textual data and exploits the potential of different approaches: it extracts pattern elements from texts which are linguistically analyzed through statistical methods.FRAQUE allows Italian users to query vast document repositories related to the domain of Public Administration. Given the statistical nature of most of its components such as word embeddings, the system allows for a flexible domain and language adaptation process. FRAQUE{'}s goal is to associate questions with frames stored into a Knowledge Graph along with relevant document passages, which are returned as the answer.",
language = "English",
ISBN = "979-10-95546-62-7",
}
Markdown (Informal)
[FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain](https://aclanthology.org/2020.lt4gov-1.2) (Miliani et al., LT4Gov 2020)
ACL