Corpus-Based Knowledge Representation
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. 1
Cite
Text
Halevy and Madhavan. "Corpus-Based Knowledge Representation." International Joint Conference on Artificial Intelligence, 2003.Markdown
[Halevy and Madhavan. "Corpus-Based Knowledge Representation." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/halevy2003ijcai-corpus/)BibTeX
@inproceedings{halevy2003ijcai-corpus,
title = {{Corpus-Based Knowledge Representation}},
author = {Halevy, Alon Y. and Madhavan, Jayant},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2003},
pages = {1567-1572},
url = {https://mlanthology.org/ijcai/2003/halevy2003ijcai-corpus/}
}