---
title: "Corpus-Based Knowledge Representation"
authors:
  - "Alon Y. Levy"
  - "Jayant Madhavan"
doi: ""
url: "https://ijcai.org/proceedings/2003/274"
pdf: "https://ijcai.org/proceedings/2003/0274.pdf"
venue: "Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence"
year: 2003
pages: "1567-1571"
track: ""
keywords:
---

# Corpus-Based Knowledge Representation

Alon Y. Levy, Jayant Madhavan

*Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence*, pages 1567-1571.

## Abstract

A corpus-based knowledge representation system consists of a large collection of disparate knowledge fragments or schemas, and a rich set of statistics computed over the corpus. We argue that by collecting such a corpus and computing the appropriate statistics, corpus-based representation offers an alternative to traditional knowledge representation for a broad class of applications. The key advantage of corpusbased representation is that we avoid the laborious process of building a (often brittle) knowledge base. We describe the basic building blocks of a corpus-based representation system and a set of applications for which such a paradigm is appropriate, including one application where the approach is already showing promising results.