University of Glasgow at TREC 2012: Experiments with Terrier in Medical Records, Microblog, and Web Tracks

Abstract

In TREC 2012, we focus on tackling the new challenges posed by the Medical, Microblog and Web tracks, using our Terrier Information Retrieval Platform. In particular, for the Medical track, we investigate how to exploit implicit knowledge within medical records, with the aim of better identifying those records from patients with specific medical conditions. For the Microblog track adhoc task, we investigate novel techniques to leverage documents hyperlinked from tweets to better estimate relevance of those tweets and increase recall. Meanwhile, for the Microblog track filtering task, we developed a new stream processing infrastructure for real-time adaptive filtering on top of the Storm framework. For the TREC Web track, we continue to build upon our learning-to-rank approaches and novel xQuAD framework within Terrier, increasing both effectiveness and efficiency when ranking.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2012
Accession Number
ADA581510

Entities

People

  • Craig Macdonald
  • Iadh Ounis
  • M-dyaa Albakour
  • Nut Limsopatham
  • Richard Mccreadie
  • Rodrygo L. Santos

Organizations

  • University of Glasgow

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Base Lines
  • Computations
  • Computer Science
  • Computing-Related Activities
  • Filtration
  • Information Retrieval
  • Infrastructure
  • Learning
  • Models
  • Platforms
  • Precision
  • Reasoning
  • Standards
  • Statistics
  • Training

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Information Retrieval
  • Medical or Health Care Field.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Neural Networks