The Information Extraction Systems of BUPT_PRIS at TREC2014 Temporal Summarization Track

Abstract

This paper describes the information extraction systems of BUPT_PRIS at Temporal Summarization Track, Which includes data obtaining and preprocessing, index building and query expansion, sentences scoring module. This year only keep one task: sequential update summarization, the task: value tracking is cancelled. For the sequential update summarization we focus attention on queries expansion and sentence scoring. There are three methods of query expansion introduced in this report: WordNets, Word representation, spatial analysis method. We also show the evaluation results for our team and the comparison with the best and median evaluations.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA618575

Entities

People

  • Bo Tang
  • Chuchu Huang
  • Guang Chen
  • Jun Guo
  • Qinlong Wang
  • Weiran Xu
  • Yuanyuan Qi

Organizations

  • Beijing University of Posts and Telecommunications

Tags

DTIC Thesaurus Topics

  • Accidents
  • Applied Computer Science
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Automated Text Summarization
  • Communication Systems
  • Computational Processes
  • Computer Science
  • Computing-Related Activities
  • Engineering
  • Extraction
  • Natural Disasters
  • Neural Networks
  • Preprocessing
  • Standards
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Computational Linguistics

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval