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CLEF
2007
Springer
14 years 6 months ago
The University of Amsterdam's Question Answering System at QA@CLEF 2007
We describe a new version of our question answering system, which was applied to the questions of the 2007 CLEF Question Answering Dutch monolingual task. This year, we made three ...
Valentin Jijkoun, Katja Hofmann, David Ahn, Mahboo...
CLEF
2007
Springer
14 years 6 months ago
Overview of WebCLEF 2007
This paper describes the WebCLEF 2007 task. The task definition—which goes beyond traditional navigational queries and is concerned with undirected information search goals—c...
Valentin Jijkoun, Maarten de Rijke
CLEF
2007
Springer
14 years 6 months ago
CLEF 2007: Ad Hoc Track Overview
We describe the objectives and organization of the CLEF 2007 ad hoc track and discuss the main characteristics of the tasks offered to test monolingual and cross-language textual d...
Giorgio Maria Di Nunzio, Nicola Ferro, Thomas Mand...
CLEF
2007
Springer
14 years 6 months ago
Overview of the ImageCLEF 2007 Object Retrieval Task
We describe the object retrieval task of ImageCLEF 2007, give an overview of the methods of the participating groups, and present and discuss the results. The task was based on th...
Thomas Deselaers, Allan Hanbury, Ville Viitaniemi,...
CLEF
2007
Springer
14 years 6 months ago
Web-Based Anaphora Resolution for the QUASAR Question Answering System
This paper describes the work done by the RFIA group at the Departamento de Sistemas Inform´aticos y Computaci´on of the Universidad Polit´ecnica of Valencia for the 2007 editio...
Davide Buscaldi, Yassine Benajiba, Paolo Rosso, Em...
CLEF
2007
Springer
14 years 6 months ago
Using Recognizing Textual Entailment as a Core Engine for Answer Validation
This paper is about our approach to answer validation, which centered by a Recognizing Textual Entailment (RTE) core engine. We first combined the question and the answer into Hypo...
Rui Wang, Günter Neumann
CLEF
2007
Springer
14 years 6 months ago
Adapting QA Components to Mine Answers in Speech Transcripts
Abstract. The paper describes QAst-v1 a robust question answering system for answering factoid questions in manual and automatic transcriptions of speech. The system is an adaptati...
Günter Neumann, Rui Wang