Title:	A QUESTION AND ANSWER SYSTEM FOR FACTUAL QUERIES IN PORTUGUESE ON DBPEDIA
Author(s):	Maksym Ketsmur, Mário Rodrigues and António Teixeira
ISBN:	978-989-8533-69-2
Editors:	Pedro Isaías and Hans Weghorn
Year:	2017
Edition:	Single
Keywords:	Question Answering, Portuguese, Knowledge Base
Type:	Full Paper
First Page:	87
Last Page:	94
Language:	English
Cover:
Full Contents:	click to dowload
Paper Abstract:	The creation of generic natural language query and answering (QA) systems is an active goal of the Semantic Web since it would allow people to conduct any query using their native language. Current solutions already handle factual questions mostly in English. The aim of this work was to develop a QA system to query knowledge bases (KB) such as DBpedia using factual questions in Portuguese. This involves representing Portuguese queries in terms of the KB ontology using SPARQL. The process of constructing a SPARQL query representing the natural language input involves determining: (1) the type of answer that is being sought - a person, a place, etc. - which is done by looking at the Portuguese equivalent of the Wh- words; (2) the main topic of the question - which person, place, etc. - obtained by morphosyntactic analysis to discover the potential subjects of the question; and (3) the properties that can be mapped to the KB ontology for creating a SPARQL query as precise as possible. The system was tested by with 22 questions without guarantee that the answer was in the KB. The correctness of the answers was verified, and was verified if the answer existed in the KB when the system did not produced results. A correct answer was produced in 67% of times that the answer existed in the KB, and for the remaining the system failed to produce an answer. Results show that this approach is promising and further investigation should be done to improve the system. The robustness observed fosters future work to expand the system to answer questions of other types.
	Go Back