Learning by Reading by Learning to Read

I
ICSC
2007
International Conference on Semantic Computing (ICSC 2007)
Abstract - Learning by Reading by Learning to Read

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Sergei Nirenburg Articles by Tim Oates Articles by Jesse English

International Conference on Semantic Computing (ICSC 2007)

Irvine, California

September 17-September 19

ISBN: 0-7695-2997-6

	ASCII Text	x
	Sergei Nirenburg, Tim Oates, Jesse English, "Learning by Reading by Learning to Read," International Conference on Semantic Computing, pp. 694-701, International Conference on Semantic Computing (ICSC 2007), 2007.

	BibTex	x
	@article{ 10.1109/ICSC.2007.101, author = {Sergei Nirenburg and Tim Oates and Jesse English}, title = {Learning by Reading by Learning to Read}, journal ={International Conference on Semantic Computing}, volume = {0}, year = {2007}, isbn = {0-7695-2997-6}, pages = {694-701}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICSC.2007.101}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - International Conference on Semantic Computing TI - Learning by Reading by Learning to Read SN - 0-7695-2997-6 SP694 EP701 A1 - Sergei Nirenburg, A1 - Tim Oates, A1 - Jesse English, PY - 2007 KW - null VL - 0 JA - International Conference on Semantic Computing ER -

Sergei Nirenburg, University of Maryland Baltimore County, USA

Tim Oates, University of Maryland Baltimore County, USA

Jesse English, University of Maryland Baltimore County, USA

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSC.2007.101

Knowledge-based natural language processing systems learn by reading, i.e., they process texts to extract knowledge. The performance of these systems crucially depends on knowledge about the domain of language itself, such as lexicons and ontologies to ground the semantics of the texts. In this paper we describe the architecture of the GIBRALTAR system, which is based on the OntoSem semantic analyzer, which learns by reading by learning to read. That is, while processing texts GIBRALTAR extracts both knowledge about the topics of the texts and knowledge about language (e.g., new ontological concepts and semantic mappings from previously unknown words to ontological concepts) that enables improved text processing. We present the results of initial experiments with GIBRALTAR and directions for future research.

Citation:

Sergei Nirenburg, Tim Oates, Jesse English, "Learning by Reading by Learning to Read," icsc, pp.694-701, International Conference on Semantic Computing (ICSC 2007), 2007

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.