This article provides a comprehensive and comparative overview of question answering
technology. It presents the question answering task from an information retrieval perspective …

Two key assumptions shape the usual view of ranked retrieval:(1) that the searcher can
choose words for their query that might appear in the documents that they wish to see, and …

Deep learning based question answering (QA) on English documents has achieved success
because there is a large amount of English training examples. However, for most languages …

Factoid question answering is the most widely studied task in question answering. In this
paper, we survey several different techniques to answer extraction for factoid question …

This paper describes an overview of the NTCIR-6 Cross-Lingual Question Answering
(CLQA) Task, an evaluation campaign for Cross-Lingual Question Answering technology. In …

Evaluation is the method of assessing and determining the educational system through
various techniques such as verbal or viva-voice test, subjective or objective written test. This …

This paper outlines the sixth NTCIR Workshop, which is the latest in a series. It briefly
describes the background, tasks, participants, and test collections of the workshop. The …

Government agencies prioritize citizen service delivery to foster trust with the public.
Technological advancements, particularly in Artificial Intelligence (AI), hold promise for …

L'objectif de cette thèse a été de proposer de nouvelles approches robustes pour le
problème de la réponse à des questions dans un cadre ouvert interactif. Notre première …

Question classification plays an important role in cross-language question answering
(CLQA) systems, while question Informer plays a key role in enhancing question …