York University at TREC 2009: Chemical Track

Abstract

Our chemical experiments mainly focus on addressing three major problems in two chemical information retrieval tasks, Technology Survey (TS) task and Prior Art (PA) task. The three problems are: (1) how to deal with chemical terminology synonyms? (2) how to deal with chemical terminology abbreviation? (3) how to deal with long queries in Prior Art (PA) task? In particular, we propose a query expansion algorithm for TS task and a keyword-selection algorithm for PA task. The Mean Average Precision (MAP) for our TS task run "york09ca07" using Algorithm 1 was 0.2519 and for our PA task run "york09caPA01" using Algorithm 2 was 0.0566. The evaluation results show that both algorithms are effective for improving retrieval performance.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2009
Accession Number
ADA517809

Entities

People

  • Jianhan Zhu
  • Jiashu Zhao
  • Xiangji Huang
  • Zheng Ye

Organizations

  • University of York

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Chemical Composition
  • Engineering
  • Frequency
  • Information Operations
  • Information Retrieval
  • Instructions
  • Molecular Weight
  • Precision
  • Standards
  • Universities
  • Weighting Functions

Fields of Study

  • Computer science

Readers

  • Analytical Chemistry
  • Computational Linguistics
  • Information Retrieval

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Learning Algorithms