Question Answering (QA) systems are becoming the inspiring model for the future of search engines. While, recently, datasets underlying QA systems have been promoted from unstructured datasets to structured datasets with semantically highly enriched metadata, question answering systems are still facing serious challenges and are therefore not meeting users' expectations. This paper provides an exhaustive insight of challenges known so far for building QA systems, with a special focus on employing structured data (i.e. knowledge graphs).It thus helps researchers to easily spot gaps to fill with their future research agendas
International audienceQuestion answering (QA) systems focus on making sense out of data via an easy-...
Knowledge graphs have gained increasing popularity in the last decade in science and technology. How...
© 2017 Association for Computing Machinery. The ever-increasing knowledge graphs impose an urgent de...
AbstractThe need to query information content available in various formats including structured and ...
The past years have seen a growing amount of research on question answering (QA) over Semantic Web d...
Unger C, Forascu C, Lopez V, et al. Question Answering over Linked Data (QALD-4). In: Cappellato L, ...
Abstract. While the amount of knowledge available as linked data grows, so does the need for providi...
International audienceThe Semantic Web contains an enormous amount of information in the form of kno...
Question Answering (QA) over Knowledge Graphs (KG) has the aim of developing a system that is capabl...
WOS: 000452742700003Employing linked data technologies and semantic endpoints for question answering...
With a huge amount of information being stored as structured data, there is an increasing need for r...
Today's paradigm of information search is in the midst of a significant transformation. Question ans...
Question answering (QA) is one of the most important and challenging tasks for understanding human l...
The availability of large amounts of open, distributed and structured semantic data on the web has n...
A large scale question answering dataset has a potential to enable development of robust and more ac...
International audienceQuestion answering (QA) systems focus on making sense out of data via an easy-...
Knowledge graphs have gained increasing popularity in the last decade in science and technology. How...
© 2017 Association for Computing Machinery. The ever-increasing knowledge graphs impose an urgent de...
AbstractThe need to query information content available in various formats including structured and ...
The past years have seen a growing amount of research on question answering (QA) over Semantic Web d...
Unger C, Forascu C, Lopez V, et al. Question Answering over Linked Data (QALD-4). In: Cappellato L, ...
Abstract. While the amount of knowledge available as linked data grows, so does the need for providi...
International audienceThe Semantic Web contains an enormous amount of information in the form of kno...
Question Answering (QA) over Knowledge Graphs (KG) has the aim of developing a system that is capabl...
WOS: 000452742700003Employing linked data technologies and semantic endpoints for question answering...
With a huge amount of information being stored as structured data, there is an increasing need for r...
Today's paradigm of information search is in the midst of a significant transformation. Question ans...
Question answering (QA) is one of the most important and challenging tasks for understanding human l...
The availability of large amounts of open, distributed and structured semantic data on the web has n...
A large scale question answering dataset has a potential to enable development of robust and more ac...
International audienceQuestion answering (QA) systems focus on making sense out of data via an easy-...
Knowledge graphs have gained increasing popularity in the last decade in science and technology. How...
© 2017 Association for Computing Machinery. The ever-increasing knowledge graphs impose an urgent de...