IRIT at TREC KBA 2014

Abstract

This paper describes the IRIT lab participation to the Vital Filtering task (also known as Cumulative Citation Recommendation) of the TREC 2014 Knowledge Base Acceleration Track. This task aims at identifying vital documents containing timely new information that should help a human to update the profile of the target entity (e.g., Wikipedia page of the entity). In this work, we evaluate two factors that could detect vitality. The first one uses a Language Model to learn vitality from a sample of vital documents, and the second leverages the bursts of documents in the stream. Obtained results are presented and discussed.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA618738

Entities

People

  • Karen Pinel-sauvagnat
  • Mohand Boughanem
  • Nathalie Hernandez
  • Rafik Abbes

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Distribution Functions
  • Filters
  • Filtration
  • Frequency
  • Information Operations
  • Information Retrieval
  • Language
  • New York
  • Precision
  • Probability
  • Probability Distributions
  • Standards
  • Training

Fields of Study

  • Computer science

Readers

  • Information Retrieval
  • Library and Information Science