# Organizing Encyclopedic Knowledge based on the Web and its Application to Question Answering

Source: [Organizing Encyclopedic Knowledge based on the Web and its Application to Question Answering](<https://www.sota2.com/research/paper/68fa60081e209131ce9ed38f>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T19:30:46.368Z

Authors: Atsushi Fujii, Tetsuya Ishikawa

Published: 2001-06-10T06:14:09.000Z

## Abstract

We propose a method to generate large-scale encyclopedic knowledge, which is valuable for much NLP research, based on the Web. We first search the Web for pages containing a term in question. Then we use linguistic patterns and HTML structures to extract text fragments describing the term. Finally, we organize extracted term descriptions based on word senses and domains. In addition, we apply an automatically generated encyclopedia to a question answering system targeting the Japanese Information-Technology Engineers Examination.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/cs/0106015>)

[PDF](<https://arxiv.org/pdf/cs/0106015.pdf>)
