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Kecir information retrieval system for ntcir7 ir4qa task.
| Content Provider | CiteSeerX |
|---|---|
| Author | Cai, Dongfeng Li, Dongyuan Bai, Yu Zhou, Bo |
| Abstract | The KECIR group participated in the Information Retrieval for Question Answering task of the NTCIR-7 ACLIA (Advanced Cross-lingual Information Access) Task Cluster. In this paper, we describe our approach on the Simplified Chinese (CS) document collections of ACLIA for the IR4QA task. This year we compared three different approaches of standard query expansion, including Local Context Analysis (LCA) method (KECIR-CS-CS-01-T), Relevance feedback method (KECIR-CS-CS-02-DN) and using online encyclopedia method (KECIR-CS-CS-03-DN). Some famous information retrieval models, i.e., Vector Space Model, Language Model were also adopted in our study for ranking relevant documents. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Ntcir7 Ir4qa Task Kecir Information Retrieval System Kecir Group Advanced Cross-lingual Information Access Document Collection Question Answering Task Language Model Local Context Analysis Different Approach Relevance Feedback Method Information Retrieval Standard Query Expansion Relevant Document Famous Information Retrieval Model Ir4qa Task Task Cluster Online Encyclopedia Method Simplified Chinese Vector Space Model Ntcir-7 Aclia |
| Content Type | Text |
