UNT 2005 TREC QA Participation: Using Lemur as IR Search Engine

Description:

This paper reports the authors' TREC 2005 QA participation. The authors' QA system Eagle QA developed last year was expanded and modified for this year's QA experiments. Particularly, the authors used Lemur 4.1 as the Information Retrieval (IR) Engine this year to find documents that may contain answers for the test questions from the document collection. The authors' result shows Lemur did a reasonable job on finding relevant documents. But certainly there is room for further improvement.

Creator(s):
Creation Date: 2005  
Partner(s):
UNT College of Information
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 43
Past 30 days: 4
Yesterday: 0
Creator (Author):
Chen, Jiangping

University of North Texas

Creator (Author):
Yu, Ping

University of North Texas

Creator (Author):
Ge, He

University of North Texas

Date(s):
  • Creation: 2005
Description:

This paper reports the authors' TREC 2005 QA participation. The authors' QA system Eagle QA developed last year was expanded and modified for this year's QA experiments. Particularly, the authors used Lemur 4.1 as the Information Retrieval (IR) Engine this year to find documents that may contain answers for the test questions from the document collection. The authors' result shows Lemur did a reasonable job on finding relevant documents. But certainly there is room for further improvement.

Degree:
Physical Description:

7 p.

Language(s):
Subject(s):
Keyword(s): information retrieval | natural language processing | linguistics | EagleQA
Source: Fourteenth Text Retrieval Conference (TREC), 2005, Gaithersburg, Maryland, United States
Contributor(s):
Partner:
UNT College of Information
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc96841
Resource Type: Paper
Format: Text
Rights:
Access: Public