SCU at TREC 2014 Knowledge Base Acceleration Track

Abstract

In this paper, we present our system we developed at Santa Clara University to address the SSF task in TREC KBA 2014. We used the pattern matching method to extract slot values for interested entities from relevant passages. We improved the approach we used last year to enhance the performance. Our system consists of the following steps: processing filtered corpus, retrieving relevant passages, pattern matching, computing scores, and generate results.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA618616

Entities

People

  • Hung D. Nguyen
  • Yi Fang

Organizations

  • Santa Clara University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Computers
  • Engineering
  • Filtration
  • Information Operations
  • Instructions
  • Language
  • Machine Learning
  • New York
  • Ratings
  • Schools
  • Standards
  • Universities

Fields of Study

  • Computer science

Readers

  • Academic Conference Management
  • Computational Linguistics
  • Information Retrieval