Chinese Information Retrieval Using Lemur: NTCIR-5 CIR Experiments at UNT

Description:

This paper discusses Chinese information retrieval using Lemur, a freely available information retrieval toolkit.

Creator(s):
Creation Date: December 2005
Partner(s):
UNT College of Information
Collection(s):
UNT Scholarly Works
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Creator (Author):
Chen, Jiangping

University of North Texas

Creator (Author):
Li, Rowena

University of North Texas

Creator (Author):
Li, Fei

University of North Texas

Date(s):
  • Creation: December 2005
Description:

This paper discusses Chinese information retrieval using Lemur, a freely available information retrieval toolkit.

Degree:
Note:

Abstract: This paper describes our participation in NTCIR-5 Chinese Information Retrieval (IR) evaluation. The main purpose is to evaluate Lemur, a freely available information retrieval toolkit. Our results showed that Lemur could provide above average performance on most of the runs. We also compared manual queries vs. automatic queries for Chinese IR. The results show that manually generated queries did not have much effect on IR performance. More analysis will be carried out to discover causes behind hard topics and ways to improve the overall retrieval performance.

Physical Description:

7 p.

Language(s):
Subject(s):
Keyword(s): text retrieval | Chinese | Lemur | Chinese text segmentation | system evaluations
Source: Fifth NTCIR-5 Workshop Meeting, 2005, Tokyo, Japan
Contributor(s):
Partner:
UNT College of Information
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc96829
Resource Type: Paper
Format: Text
Rights:
Access: Public