CRL at Ntcir2
Masaki Murata, Masao Utiyama, Qing Ma, Hiromi Ozaku, and Hitoshi, Isahara

TL;DR
This paper describes the development and evaluation of two information retrieval systems for NTCIR2, one enhanced from previous work and one portable with automatic parameter tuning, achieving good results across multiple tasks.
Contribution
Introduces a new enhanced retrieval system and a portable system with automatic parameter determination for NTCIR2 tasks, improving retrieval performance.
Findings
The enhanced system achieved good results on JJ and CC tasks.
The portable system effectively determined parameters automatically.
Both systems demonstrated strong retrieval performance across multiple tasks.
Abstract
We have developed systems of two types for NTCIR2. One is an enhenced version of the system we developed for NTCIR1 and IREX. It submitted retrieval results for JJ and CC tasks. A variety of parameters were tried with the system. It used such characteristics of newspapers as locational information in the CC tasks. The system got good results for both of the tasks. The other system is a portable system which avoids free parameters as much as possible. The system submitted retrieval results for JJ, JE, EE, EJ, and CC tasks. The system automatically determined the number of top documents and the weight of the original query used in automatic-feedback retrieval. It also determined relevant terms quite robustly. For EJ and JE tasks, it used document expansion to augment the initial queries. It achieved good results, except on the CC tasks.
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Medical Imaging and Pathology Studies · Neuroendocrine Tumor Research Advances
