This paper describes the participation of the Technical University of Catalonia in the CLEF 2008 Question Answering on Speech Transcripts track. We have participated in the Englis...
We present a new technique for question answering called Predictive Annotation. Predictive Annotation identifies potential answers to questions in text, annotates them accordingly...
John M. Prager, Eric W. Brown, Anni Coden, Dragomi...
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...
This paper describes a QA system centered in a full data-driven architecture. It applies machine learning and text mining techniques to identify the most probable answers to factoi...
This paper presents a simple approach to the Wikipedia Question Answering pilot task in CLEF 2006. The approach ranks the snippets, retrieved using the Lucene search engine, by mea...
We describe a question answering system for Dutch that we used for our participation in the 2006 CLEF Question Answering Dutch monolingual task. We give an overview of the system a...
David Ahn, Valentin Jijkoun, Joris van Rantwijk, M...
This paper presents a method for cross-language question answering. The method combines multiple query translations in order to improve the answering precision. The combination of ...
The TREC-8 Question Answering (QA) Track was the first large-scale evaluation of domain-independent question answering systems. In addition to fostering research on the QA task, ...
PowerAqua1 is a Question Answering system, which takes as input a natural language query and is able to return answers drawn from relevant semantic resources found anywhere on the...
Vanessa Lopez, Victoria S. Uren, Marta Sabou, Enri...