International audienceProviding a general and efficient Question Answering system over Knowledge Bases (KB) has been studied for years. Most of the works concentrated on the automatic translation of a natural language question into a formal query. However, few works address the problem on how users can interact with Question Answering systems during this translation process. We present a general mechanism that allows users to interact with Question Answering systems. It is built on top of Qanary, a framework for integrating Question Answering components. We show how the mechanism can be applied in a generalized way. In particular, we show how it can be used when the user asks ambiguous questions
International audienceThe Semantic Web contains an enormous amount of information in the form of kno...
Intelligent interaction between humans and computers has been a dream of artificial intelligence sin...
We study how to improve the question answering (QA) model from human feedback. We formulate a contex...
International audienceProviding a general and efficient Question Answering system over Knowledge Bas...
International audienceThe field of Question Answering (QA) is very multi-disciplinary as it requires...
The field of Question Answering (QA) is very multidisciplinary as it requires expertise from a large...
It is very challenging to access the knowledge expressed within (big) data sets. Question answering ...
International audienceQuestion answering (QA) systems focus on making sense out of data via an easy-...
International audienceIt is very challenging to access the knowledge expressed within (big) data set...
Question Answering QA system is a combination of Information Retrieval IR and Natural Language Pr...
Question answering (QA) systems focus on making sense out of data via an easy-to-use interface. Howe...
AbstractThe need to query information content available in various formats including structured and ...
International audienceEstablishing a Question Answering (QA) system is time consuming. One main reas...
In this paper we report on the progress we have made in developing a unified framework for automatic...
Establishing a Question Answering (QA) system is time consuming. One main reason is the involved fie...
International audienceThe Semantic Web contains an enormous amount of information in the form of kno...
Intelligent interaction between humans and computers has been a dream of artificial intelligence sin...
We study how to improve the question answering (QA) model from human feedback. We formulate a contex...
International audienceProviding a general and efficient Question Answering system over Knowledge Bas...
International audienceThe field of Question Answering (QA) is very multi-disciplinary as it requires...
The field of Question Answering (QA) is very multidisciplinary as it requires expertise from a large...
It is very challenging to access the knowledge expressed within (big) data sets. Question answering ...
International audienceQuestion answering (QA) systems focus on making sense out of data via an easy-...
International audienceIt is very challenging to access the knowledge expressed within (big) data set...
Question Answering QA system is a combination of Information Retrieval IR and Natural Language Pr...
Question answering (QA) systems focus on making sense out of data via an easy-to-use interface. Howe...
AbstractThe need to query information content available in various formats including structured and ...
International audienceEstablishing a Question Answering (QA) system is time consuming. One main reas...
In this paper we report on the progress we have made in developing a unified framework for automatic...
Establishing a Question Answering (QA) system is time consuming. One main reason is the involved fie...
International audienceThe Semantic Web contains an enormous amount of information in the form of kno...
Intelligent interaction between humans and computers has been a dream of artificial intelligence sin...
We study how to improve the question answering (QA) model from human feedback. We formulate a contex...