Toward an architecture for never-ending language learning (2010)
| Venue: | In AAAI |
| Citations: | 36 - 5 self |
BibTeX
@INPROCEEDINGS{Carlson10towardan,
author = {Andrew Carlson and Justin Betteridge and Bryan Kisiel and Burr Settles and Estevam R. Hruschka and Tom M. Mitchell},
title = {Toward an architecture for never-ending language learning},
booktitle = {In AAAI},
year = {2010}
}
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
We consider here the problem of building a never-ending language learner; that is, an intelligent computer agent that runs forever and that each day must (1) extract, or read, information from the web to populate a growing structured knowledge base, and (2) learn to perform this task better than on the previous day. In particular, we propose an approach and a set of design principles for such an agent, describe a partial implementation of such a system that has already learned to extract a knowledge base containing over 242,000 beliefs with an estimated precision of 74 % after running for 67 days, and discuss lessons learned from this preliminary attempt to build a never-ending learning agent.
