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
Linked Data project is aimed to give more details on any subject through the big knowledge bases def...
Ontology Learning requires a deep specialization on Semantic Web, Knowledge Representation, Search E...
This paper presents a question/answering system for searching the web. The system accepts natural la...
The paper presents an Italian question answering system over linked data. We use a model-based appro...
Many question answering (QA) systems over RDF induced from question-query pairs using some machine l...
Elahi MF, Ell B, Cimiano P. LexExMachinaQA: A framework for the automatic induction of ontology lexi...
Question Answering over structured data represents one of the main challenges in the field of Natura...
Most approaches to question answering over linked data (QALD) frame the task as a machine learning p...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
International audienceWith the development of the Semantic Web, a lot of new structured data has bec...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
In this paper we present QuASIt, a Question Answering System for the Italian language, and the under...
Question answering (QA) system aims at retrieving precise information from a large collection of doc...
In this paper we focus on resources and techniques available for Multilingual and Cross-lang...
In today\u27s world the majority of information is accessible via the World Wide Web. A common way t...
Linked Data project is aimed to give more details on any subject through the big knowledge bases def...
Ontology Learning requires a deep specialization on Semantic Web, Knowledge Representation, Search E...
This paper presents a question/answering system for searching the web. The system accepts natural la...
The paper presents an Italian question answering system over linked data. We use a model-based appro...
Many question answering (QA) systems over RDF induced from question-query pairs using some machine l...
Elahi MF, Ell B, Cimiano P. LexExMachinaQA: A framework for the automatic induction of ontology lexi...
Question Answering over structured data represents one of the main challenges in the field of Natura...
Most approaches to question answering over linked data (QALD) frame the task as a machine learning p...
The recent breakthroughs in the field of deep learning have lead to state-of-the-art results in seve...
International audienceWith the development of the Semantic Web, a lot of new structured data has bec...
The recent breakthroughs in the field of deep learning led to state-of-the-art results in several NL...
In this paper we present QuASIt, a Question Answering System for the Italian language, and the under...
Question answering (QA) system aims at retrieving precise information from a large collection of doc...
In this paper we focus on resources and techniques available for Multilingual and Cross-lang...
In today\u27s world the majority of information is accessible via the World Wide Web. A common way t...
Linked Data project is aimed to give more details on any subject through the big knowledge bases def...
Ontology Learning requires a deep specialization on Semantic Web, Knowledge Representation, Search E...
This paper presents a question/answering system for searching the web. The system accepts natural la...