This paper presents the QALL-ME benchmark, a multilingual resource of annotated spoken requests in the tourism domain, freely available for research purposes. The languages curren...
Elena Cabrio, Milen Kouylekov, Bernardo Magnini, M...
Over the last several years, speech-based question answering (QA) has become very popular in contrast to pure search engine based approaches on a desktop. Open-domain QA systems a...
Question answering (QA) systems aim at retrieving precise information from a large collection of documents. To be considered as reliable by users, a QA system must provide element...
Question Answering (QA) technology aims at providing relevant answers to natural language questions. Most Question Answering research has focused on mining document collections co...
Nicolas Moreau, Olivier Hamon, Djamel Mostefa, Sop...
Previous content extraction evaluations have neglected to address problems which complicate the incorporation of extracted information into an existing knowledge base. Previous qu...
Paul McNamee, Hoa Trang Dang, Heather Simpson, Pat...
The paper offers an overview of the key issues raised during the seven years' activity of the Multilingual Question Answering Track at the Cross Language Evaluation Forum (CL...
Abstract. This paper describes our approach to the Question Answering - Word Sense Disambiguation task. This task consists in carrying out Question Answering over a disambiguated d...
We describe our participation in Multilingual Question Answering at CLEF 2008 using German and English as our source and target languages respectively. The system was built using ...
Abstract. This paper describes the experience of QAST 2008, the second time a pilot track of CLEF has been held aiming to evaluate the task of Question Answering in Speech Transcri...
Jordi Turmo, Pere Comas, Sophie Rosset, Lori Lamel...
The Answer Validation Exercise at the Cross Language Evaluation Forum (CLEF) is aimed at developing systems able to decide whether the answer of a Question Answering (QA) system i...