An Italian Question Answering System Based on Grammars Automatically Generated from Ontology Lexica
Contributo in Atti di convegno
Data di Pubblicazione:
2021
Abstract:
The paper presents an Italian question answering system over linked data. We use a
model-based approach to question answering based on an ontology lexicon in lemon
format. The system exploits an automatically generated lexicalized grammar that
can then be used to interpret and transform
questions into SPARQL queries. We apply the approach for the Italian language
and implement a question answering system that can answer more than 1.6 million questions over the DBpedia knowledge graph.
model-based approach to question answering based on an ontology lexicon in lemon
format. The system exploits an automatically generated lexicalized grammar that
can then be used to interpret and transform
questions into SPARQL queries. We apply the approach for the Italian language
and implement a question answering system that can answer more than 1.6 million questions over the DBpedia knowledge graph.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
Nolano, Gennaro; Fazleh Elahi, Mohammad; di Buono, Maria Pia; Ell, Basil; Cimiano, Philipp
Link alla scheda completa:
Titolo del libro:
CLiC-it 2021 - Proceedings of the Eighth Italian Conference on Computational Linguistics
Pubblicato in: