QRISTAL [9] is a question answering system making intensive use of natural language processing both for indexing documents and extracting answers. It ranked first in the EQueR eva...
We propose a weakly-supervised approach for extracting class attributes from structured text available within Web documents. The overall precision of the extracted attributes is a...
Abstract. We propose a virtual teacher for the evaluation of students’ competencies. It aims to improve learning by making personalized suggestions on the learning materials. It ...
The volume of information in natural languages in electronic format is increasing exponentially. The demographics of users of information management systems are becoming increasin...
: In this paper, we propose a method for retrieving products that match users’ search queries written in natural language. We use a large amount of product reviews written by con...