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...
Most question answering (QA) and information retrieval (IR) systems are insensitive to different users' needs and preferences, and also to the existence of multiple, complex ...
This paper describes the development of a Question Answering (QA) system and its evaluation results in the Romanian-English cross-lingual track organized as part of the CLEF1 2006 ...
Georgiana Puscasu, Adrian Iftene, Ionut Pistol, Di...
In this paper we explore the application of fuzzy logic and data fusion techniques to improve the performance of passage retrieval in open domain Question Answering Systems (QAS). ...
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...