Learn More
We describe a framework incorporating several information extraction methods for the NTCIR-9 One Click Access Task. Our framework first classifies a given query into pre-defined query classes, then extracts information from several Web resources by using a method suitable for the query type, and finally aggregates pieces of information into a short text.
This paper describes a wiki-based collective intelligence approach to provide a system environment that enables users to formulate a body of knowledge (BOK) for a new discipline, such as social informatics. When the targeted discipline is mature, for example, computer science, its BOK can be straightforwardly formulated by a task force using a top-down(More)
This paper proposes a query classification system for a one-click search system that uses feature vectors based on snippet similarity. The proposed system targets the NTCIR-10 1CLICK-2 query classification subtask and classifies queries in Japanese and English into eight predefined classes by using support vector machines (SVMs). In the NTCIR-9 and NTCIR-10(More)
  • 1