IRF Conference - Monday 31 May 2010

 

Welcome and Introduction
Stefan Rueger, The Open University, UK
John Tait, IRF, AT
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"Is this document relevant? Errr it’ll do"
Keynote by Mark Sanderson, Department of Information Studies, University of Sheffield, UK
Abstract
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Sentence-level Attachment Prediction
M-Dyaa Albakour, Udo Kruschwitz and Simon Lucas, Language and Computation Group, University of Essex, UK
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Rank By Readability: Document Weighting for Information Retrieval
Neil Newbold, Harry McLaughlin and Lee Gillam, Department of Computing, University of Surrey, UK
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Knowledge Modeling In Prior Art Search
Erik Graf, Ingo Frommholz, Mounia Lalmas and Keith van Rijsbergen, Information Retrieval Group, University of Glasgow, UK
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Combining Wikipedia-Based Concept Models for Cross-Language Retrieval
Benjamin Roth and Dietrich Klakow, Spoken Language Systems, Saarland University, DE
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Exploring Contextual Models for Chemical Patent Search
Jay Urbain, Computer Science, Milwaukee School of Engineering, US
Ophir Frieder, Department of Computer Science, Georgetown University, US
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Measuring the Variablity in Effectiveness of a Retrieval System
Mehdi Hosseini and Ingemar J. Cox, University College London, UK
Natasa Millic-Frayling and Vishwa Vinay, Microsoft Research Cambridge, UK
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The Evolution of Information Retrieval
Keynote by David Hawkin, Chief Scientist, Funnelback Internet and Enterprise Search, AU
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An Information Retrieval Model Based on Discrete Fourier Transform
Alberto Costa, Laboratoire d'Informatique de l'Ecole Polytechnique, FR
Massimo Melucci, Department of Information Engineering, University of Padua, IT
Abstract

 

Logic-based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data
Iraklis A. Klampanos, Department of Computing Science, University of Glasgow, UK
Hengzhi Wu, Thomas Roelleke, and Hany Azzam, Department of Computer Science, Queen Mary University of London, UK
Abstract

Automatic Extraction and Resolution of Bibliographical References in Patent Documents
Patrice Lopez, INRIA, FR
Abstract

An Investigation of Quantum Interference in Information Retrieval
Massimo Melucci, Department of Information Engineering, University of Padua, IT
Abstract

Abstracts versus Full Texts and Patents: A Quantitative Analysis of Biomedical Entities
Bernd Müller, Roman Klinger, Harsha Gurulingappa, Heinz-Theodor Mevissen, Martin Hofmann-Apitius, Juliane Fluck and Christoph Friedrich, Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI, DE
Abstract