Search and Retrieval General Terms (2009)
Edgar Meij, Dolf Trieschnigg, Maarten De Rijke, Wessel Kraaij
In many collections, documents are annotated using concepts from a structured knowledge source such as an ontology or thesaurus. Examples include the news domain [7], where each news item is...
Search and Retrieval General Terms (2009)
In many collections, documents are annotated using concepts from a structured knowledge source such as an ontology or thesaurus. Examples include the news domain [7], where each news item is...
MeSH Up: effective MeSH text classification for improved document retrieval (2009)
Trieschnigg, Dolf, Pezik, Piotr, Lee, Vivian, Jong De, Franciska, Kraaij, Wessel, Rebholz-Schuhmann, Dietrich
Motivation: Controlled vocabularies such as the Medical Subject Headings (MeSH) thesaurus and the Gene Ontology (GO) provide an efficient way of accessing and organizing biomedical information by...
MeSH Up: effective MeSH text classification for improved document retrieval (2009)
Trieschnigg, Dolf, Pezik, Piotr, Lee, Vivian, De Jong, Franciska, Kraaij, Wessel, Rebholz-Schuhmann, Dietrich
Motivation: Controlled vocabularies such as the Medical Subject Headings (MeSH) thesaurus and the Gene Ontology (GO) provide an efficient way of accessing and organizing biomedical information by...
Conceptual language models for domain-specific retrieval (2009)
Meij, Edgar, Trieschnigg, Dolf, Rijke De, Maarten, Kraaij, Wessel
Over the years, various meta-languages have been used to manually enrich documents with conceptual knowledge of some kind. Examples include keyword assignment to citations or, more recently, tags to...
Trieschnigg, Dolf, Pezik, Piotr, Lee, Vivian, Jong De, Franciska, Kraaij, Wessel, Rebholz-Schuhmann, Dietrich
Hierarchical topic detection is a new task in the TDT 2004 evaluation program, which aims to organize an unstructured news collection in a directed acyclic graph (DAG) structure, reflecting the...
Dolf Trieschnigg, Wessel Kraaij, Martijn Schuemie, Erasmus Mc
The 2006 TREC Genomics evaluation focuses on document, passage and aspect retrieval in the genomics domain. The Erasmus Medical Center, TNO and University of Twente collaborated on an approach...
Claudia Hauff, Dolf Trieschnigg, Henning Rode
In this report we describe the approach of the University of Twente to the 2006 Geo-CLEF task. It is based on retrieval by content and the subsequent filtering by geographical relevance utilizing a...
Measuring concept relatedness using language models (2008)
Dolf Trieschnigg, Edgar Meij, Maarten De Rijke, Wessel Kraaij
Over the years, the notion of concept relatedness has attracted considerable attention. A variety of approaches, based on ontology structure, information content, association, or context have been...
Parsimonious concept modeling (2008)
Meij, Edgar, Trieschnigg, Dolf, Rijke De, Maarten, Kraaij, Wessel
Measuring concept relatedness using language models (2008)
Trieschnigg, Dolf, Meij, Edgar, Rijke De, Maarten, Kraaij, Wessel
Over the years, the notion of concept relatedness has attracted considerable attention. A variety of approaches, based on ontology structure, information content, association, or context have been...
The Influence of Basic Tokenization on Biomedical Document Retrieval (2007)
Trieschnigg, Dolf, Kraaij, Wessel, Jong De, Franciska
Tokenization is a fundamental preprocessing step in Information Retrieval systems in which text is turned into index terms. This paper quantifies and compares the influence of various simple...
Cross Language Information Retrieval for Biomedical Literature (2007)
Schuemie, Martijn, Trieschnigg, Dolf, Kraaij, Wessel
This workshop report discusses the collaborative work of UT, EMC and TNO on the TREC Genomics Track 2007. The biomedical information retrieval task is approached using cross language methods, in...
Concept based passage retrieval for genomics literature (2006)
Trieschnigg, Dolf, Kraaij, Wessel, Schuemie, Martijn
The 2006 TREC Genomics evaluation focuses on document, passage and aspect retrieval in the genomics domain. The Erasmus Medical Center, TNO and University of Twente collaborated on an approach...
University of Twente at GeoCLEF 2006: geofiltered document retrieval (2006)
Hauff, Claudia, Trieschnigg, Dolf, Rode, Henning
In this report we describe the approach of the University of Twente to the 2006 Geo-CLEF task. It is based on retrieval by content and the subsequent filtering by geographical relevance utilizing a...
MeSH Up: effective MeSH text classification for improved document retrieval
Trieschnigg, Dolf, Pezik, Piotr, Lee, Vivian, De Jong, Franciska, Kraaij, Wessel, Rebholz-Schuhmann, Dietrich
Motivation: Controlled vocabularies such as the Medical Subject Headings (MeSH) thesaurus and the Gene Ontology (GO) provide an efficient way of accessing and organizing biomedical information by...