In this paper we describe our experiments in finding answers from documents based on statistical and linguistic knowledge. We collected the candidate answers from sources available...
Abstract. In this paper we present an approach to question answering over heterogeneous knowledge sources that makes use of different ontology management components within the sce...
Stephan Bloehdorn, Philipp Cimiano, Alistair Duke,...
With the ever-increasing amount of textual information available, it is becoming increasingly unlikely that a single document will provide the answer to a question. A more likely ...
Linked Data semantic sources, in particular DBpedia, can be used to answer many user queries. PowerAqua is an open multi-ontology Question Answering (QA) system for the Semantic We...
Vanessa Lopez, Andriy Nikolov, Marta Sabou, Victor...
Question Answering (QA) is a task that deserves more collaboration between Natural Language Processing (NLP) and Knowledge Representation (KR) communities, not only to introduce r...