M. Sanderson

Publications
Influence

M. Sanderson, W. Croft
Computer Science
SIGIR '99
1 August 1999

This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of retrieved documents without use of training data or standard clustering techniques using a type of co-occurrence known as subsumption. Expand

Advantages of query biased summaries in information retrieval

A. Tombros, M. Sanderson
Computer Science
SIGIR '98
1 August 1998

This paper presents an investigation into the utility of document summarisation in the context of information retrieval, more specifically in the application of query biased (or user directed) summaries: summaries customised to reflect the information need expressed in a query. Expand

Test Collection Based Evaluation of Information Retrieval Systems

M. Sanderson
Computer Science
Found. Trends Inf. Retr.
3 June 2010

Use of test collections and evaluation measures to assess the effectiveness of information retrieval systems has its origins in work dating back to the early 1950s. Expand

Information retrieval system evaluation: effort, sensitivity, and reliability

M. Sanderson, J. Zobel
Computer Science
SIGIR '05
15 August 2005

The effectiveness of information retrieval systems is measured by comparing performance on a common set of queries and documents. Expand

Word sense disambiguation and information retrieval

M. Sanderson
Computer Science
SIGIR '94
1 August 1994

It has often been thought that word sense ambiguity is a cause of poor performance in Information Retrieval (IR) systems. Expand

Analyzing geographic queries

M. Sanderson, J. Kohler
Geography
2004

The aim of this study was to analyze the 2001 Excite query log to investigate the extent and variation of Web queries containing geographic terms. In particular, an investigation into what people … Expand

INQUERY and TREC-8

James Allan, J. Callan, M. Sanderson, J. Xu, S. Wegmann
Computer Science
TREC
1998

We used Inquery as the search engine, query processing, and a query expansion technique known as LCA for the cross-language, question answering, and query tracks. Expand

Spatial information retrieval and geographical ontologies an overview of the SPIRIT project

C. Jones, R. Purves, +4 authors Robert Weibel
Computer Science
SIGIR '02
11 August 2002

A large proportion of the resources available on the world-wide web refer to information that may be regarded as geographically located and there is a wealth of survey data, images, maps and reports that relate to specific places or regions. Expand

Ambiguous queries: test collections need more sense

M. Sanderson
Computer Science
SIGIR '08
20 July 2008

This paper shows that there is a whole class of ambiguous word that past research has barely explored. Expand

The CLEF Cross Language Image Retrieval Track (ImageCLEF) 2004

P. Clough, M. Sanderson, H. Müller
Computer Science
CLEF
21 July 2004

In this paper we describe ImageCLEF, the cross language image retrieval track of the Cross Language Evaluation Forum (CLEF). Expand

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