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

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

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7 p.

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Chen, Jiangping; Li, Rowena & Li, Fei December 2005.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Information to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 560 times. More information about this paper can be viewed below.

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UNT College of Information

Situated at the intersection of people, technology, and information, the College of Information's faculty, staff and students invest in innovative research, collaborative partnerships, and student-centered education to serve a global information society. The college offers programs of study in information science, learning technologies, and linguistics.

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

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7 p.

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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.

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  • Fifth NTCIR-5 Workshop Meeting, December 6-9, 2005. Tokyo, Japan

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  • December 2005

Added to The UNT Digital Library

  • Aug. 7, 2012, 1:52 p.m.

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  • Nov. 30, 2023, 1:11 p.m.

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Chen, Jiangping; Li, Rowena & Li, Fei. Chinese Information Retrieval Using Lemur: NTCIR-5 CIR Experiments at UNT, paper, December 2005; (https://digital.library.unt.edu/ark:/67531/metadc96829/: accessed March 19, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.

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