TUW @ TREC Clinical Decision Support Track

Abstract

This document describes the participation of Vienna University of Technology in the TREC Clinical Decision Support Track 2014. Four different search models are investigated, as well as different strategies to index the corpus and to extract the most relevant information from the topics. Our results conclude that BM25 and Vector Space Model had similar performance for P@10 and inferred NDCG.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA618609

Entities

People

  • Allan Hanbury
  • Joao Palotti
  • Linda Anderson
  • Navid Rekabsaz

Organizations

  • TU Wien

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Deep Learning
  • European Union
  • Hierarchies
  • Information Operations
  • Information Retrieval
  • Language
  • Lower Extremity
  • Medical Personnel
  • Patient Care
  • Physicians
  • Standards
  • Universities
  • Vector Spaces

Readers

  • Information Retrieval
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • Space