ASKNet: automated semantic knowledge network

Authors:
Brian Harrington
Affiliations:
Computing Laboratory, Oxford University, Oxford
Venue:
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Year:
2007

Citing 5
Cited 0

CYC: a large-scale investment in knowledge infrastructure

Communications of the ACM
MindNet: acquiring and structuring semantic information from text

COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A commonsense approach to predictive text entry

CHI '04 Extended Abstracts on Human Factors in Computing Systems
ConceptNet — A Practical Commonsense Reasoning Tool-Kit

BT Technology Journal
Parsing the WSJ using CCG and log-linear models

ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

The ASKNet project is an attempt to automatically generate semantic knowledge networks from natural language text. NLP tools such as parsers and semantic analysers are used to turn input sentences into fragments of semantic network, and these network fragments are combined using spreading activation algorithms that utilise both lexical and semantic information. The ultimate goal of the project is to create a semantic resource on a scale that has never before been possible.