Information retrieval Archives - Page 5 of 6

A query model based on normalized log-likelihood

19/11/2009 Conference Papers Publications No Comments

A query is usually a brief, sometimes imprecise expression of an underlying information need . Examining how queries can be transformed to equivalent, potentially better queries is a theme of recurring interest to the information retrieval community. Such transformations include expansion of short queries to long queries, paraphrasing queries using…

Semantic disclosure in an e-Science environment

16/03/2009 Books Publications No Comments

The Virtual Laboratory for e-Science (VL-e) project serves as a backdrop for the ideas described in this chapter. VL-e is a project with academic and industrial partners where e-science has been applied to several domains of scientific research. Adaptive Information Disclosure (AID), a subprogram within VL-e, is a multi-disciplinary group…

A Generative Language Modeling Approach for Ranking Entities

16/02/2009 Conference Papers Publications No Comments

We describe our participation in the INEX 2008 Entity Ranking track. We develop a generative language modeling approach for the entity ranking and list completion tasks. Our framework comprises the following components: (i) entity and (ii) query language models, (iii) entity prior, (iv) the probability of an entity for a…

Concept models for domain-specific search

16/02/2009 Conference Papers Publications No Comments

We describe our participation in the 2008 CLEF Domain-specific track. We evaluate blind relevance feedback models and concept models on the CLEF domain-specific test collection. Applying relevance modeling techniques is found to have a positive effect on the 2008 topic set, in terms of mean average precision and precision@10. Applying…

Incorporating Non-Relevance Information in the Estimation of Query Models

16/01/2009 Publications Unrefereed No Comments

We describe the participation of the University of Amsterdam’s ILPS group in the relevance feedback track at TREC 2008. We introduce a new model which incorporates information from relevant and non-relevant documents to improve the estimation of query models. Our main findings are twofold: (i) in terms of statMAP, a…

The University of Amsterdam at Trec 2008

16/11/2008 Publications Unrefereed No Comments

We describe the participation of the University of Amsterdam’s ILPS group in the blog, enterprise and relevance feedback track at TREC 2008. Our main preliminary conclusions are that estimating mixture weights for external expansion in blog post retrieval is non-trivial and we need more analysis to find out why it…

The University of Amsterdam (Ilps) at Inex 2008

16/10/2008 Publications Unrefereed No Comments

We describe our participation in the INEX 2008 Entity Ranking and Link-the-Wiki tracks. We provide a detailed account of the ideas underlying our approaches to these tasks. For the Link-the-Wiki track, we also report on the results and findings so far. [bibtex key=INEX-WS:2008:weerkamp]

The University of Amsterdam at the CLEF 2008 Domain Speciﬁc Track – Parsimonious Relevance and Concept Models

16/09/2008 Publications Unrefereed No Comments

We describe our participation in the CLEF 2008 Domain Specific track. The research questions we address are threefold: (i) what are the effects of estimating and applying relevance models to the domain specific collection used at CLEF 2008, (ii) what are the results of parsimonizing these relevance models, and (iii)…

Parsimonious concept modeling

16/07/2008 Conference Papers Publications No Comments

In many collections, documents are annotated using concepts from a structured knowledge source such as an ontology or thesaurus. Examples include the news domain, where each news item is categorized according to the nature of the event that took place, and Wikipedia, with its per-article categories. These categorizing systems originally…

Bootstrapping Language Associated with Biomedical Entities

16/01/2008 Publications Unrefereed No Comments

The TREC Genomics 2007 task included recognizing topic-specific entities in the returned passages. To address this task, we have designed and implemented a novel data-driven ap- proach by combining information extraction with language modeling techniques. Instead of using an exhaustive list of all possible instances for an entity type, we…

Edgar Meij

Tag: Information retrieval