Sukhoon Lee

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The purpose of this paper is to overview research efforts at the NTCIR-5 CLIR task, which is a project of large-scale retrieval experiments on cross-lingual information retrieval (CLIR) of Chinese, Japanese, Korean, and English. The project has three sub-tasks, multilingual IR (MLIR), bilingual IR (BLIR), and single language IR (SLIR), in which many(More)
The purpose of this paper is to overview research efforts at the NTCIR-4 CLIR task, which is a project of large-scale retrieval experiments on cross-lingual information retrieval (CLIR) of Chinese, Japanese, Korean, and English. The project has four sub-tasks, multilingual IR (MLIR), bilingual IR (BLIR), pivot bilingual IR (PLIR) and single language IR(More)
This report is an overview of Cross-Language Information Retrieval Task (CLIR) at the third NTCIR Workshop. There are 3 tracks in CLIR: Single Language IR (SLIR), Bilingual CLIR (BLIR), and Multilingual CLIR (MLIR). The scope, schedule, test collections, search results, relevance judgment, scoring results, and the preliminary analyses are described in the(More)
This paper describes characteristics of the Korean Test Collection constructed for Cross-Language Information Retrieval (CLIR) task at the third NTCIR workshop. We first give summary statistics and then provide further analyses of the collection using the search results and relevance judgments. More specifically, we report on our preliminary analyses on(More)
The purpose of this paper is to overview research efforts at the NTCIR-6 CLIR task, which is a project of large-scale retrieval experiments on cross-lingual information retrieval (CLIR) of Chinese, Japanese, Korean, and English. The project has three sub-tasks, multilingual IR (MLIR), bilingual IR (BLIR), and single language IR (SLIR), in which many(More)
In this paper, we propose a semantic negotiation based service framework for the extraction of optimized service information without user intervention in intelligent Machine to Machine (M2M) environment. Proposed semantic negotiation procedure is used for a machine in order to interact with another encountered heterogeneous machine. Through the proposed(More)
Analyzing large quantities of bio-signal data can lead to new findings in patient status diagnosis and medical emergency event prediction. Specifically, improvements in machine learning schemes suggest that by inputting clinical waveforms, designing mechanisms to predict medical emergencies, such as ventricular arrhythmia or sepsis, can soon be possible.(More)