Information Extraction: Knowledge Discovery from Text - Revision history

Rdmr at 14:21, 20 May 2009

2009-05-20T14:21:15Z

← Older revision		Revision as of 14:21, 20 May 2009
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	== Abstract ==		== Abstract ==

	Much of the information on the Web is encoded as text, in a		Much of the information on the Web is encoded as text, in a form which is easy for people to use but hard for computers to manipulate. The role of information extraction is to make the structure of this information explicit, by creating data base entries capturing specified types of entities, relations, and events in the text. We consider some of the challenges of information extraction and how they have been addressed. In particular, we consider what knowledge is required and how the means for creating this knowledge has developed over the past decade, shifting from hand-coded rules to supervised learning methods and now to semi-supervised and unsupervised techniques.
	form which is easy for people to use but hard for computers to
	manipulate. The role of information extraction is to make the
	structure of this information explicit, by creating data base
	entries capturing specified types of entities, relations, and events
	in the text. We consider some of the challenges of information
	extraction and how they have been addressed. In particular,
	we consider what knowledge is required and how the means for
	creating this knowledge has developed over the past decade,
	shifting from hand-coded rules to supervised learning methods
	and now to semi-supervised and unsupervised techniques.

	[[category:Seminars]]		[[category:Seminars]]
	[[category:Seminars 2009]]		[[category:Seminars 2009]]
	[[category:Invited Presentations]]		[[category:Invited Presentations]]

Rdmr at 14:19, 20 May 2009

2009-05-20T14:19:23Z

← Older revision		Revision as of 14:19, 20 May 2009
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	\|email=grishman@cs.nyu.edu		\|email=grishman@cs.nyu.edu
	\|www=http://cs.nyu.edu/cs/faculty/grishman/		\|www=http://cs.nyu.edu/cs/faculty/grishman/
	\|bio= Ralph Grishman is Professor of Computer Science at New York		\|bio= Ralph Grishman is Professor of Computer Science at New York University. He has been involved in research in natural language processing since 1969, and since 1985 has directed the Proteus Project, with funding from DARPA, NSF, and other Government agencies. The Proteus Project has conducted research in natural language text analysis, including information extraction, and has been involved in the creation of a number of major lexical and syntactic resources, including Comlex, Nomlex, and NomBank. He is a past president of the Association for Computational Linguistics and the author of the text Computational Linguistics: An Introduction.}}
	University. He has been involved in research in natural language
	processing since 1969, and since 1985 has directed the Proteus
	Project, with funding from DARPA, NSF, and other Government
	agencies. The Proteus Project has conducted research in natural
	language text analysis, including information extraction, and
	has been involved in the creation of a number of major lexical
	and syntactic resources, including Comlex, Nomlex, and NomBank.
	He is a past president of the Association for Computational
	Linguistics and the author of the text Computational Linguistics:
	An Introduction.}}

	== Date ==		== Date ==

Rdmr at 14:18, 20 May 2009

2009-05-20T14:18:30Z

New page

__NOTOC__
{{speakerLargeBio|
|name= Ralph Grishman
|image= Grishman.jpg
|email=grishman@cs.nyu.edu
|www=http://cs.nyu.edu/cs/faculty/grishman/
|bio= Ralph Grishman is Professor of Computer Science at New York
University. He has been involved in research in natural language
processing since 1969, and since 1985 has directed the Proteus
Project, with funding from DARPA, NSF, and other Government
agencies. The Proteus Project has conducted research in natural
language text analysis, including information extraction, and
has been involved in the creation of a number of major lexical
and syntactic resources, including Comlex, Nomlex, and NomBank.
He is a past president of the Association for Computational
Linguistics and the author of the text Computational Linguistics:
An Introduction.}}

== Date ==

* 14:15, Monday, May 25<sup>th</sup>, 2009
* Room 336

== Speaker ==

* Ralph Grishman, New York University, USA

== Abstract ==

Much of the information on the Web is encoded as text, in a
form which is easy for people to use but hard for computers to
manipulate. The role of information extraction is to make the
structure of this information explicit, by creating data base
entries capturing specified types of entities, relations, and events
in the text. We consider some of the challenges of information
extraction and how they have been addressed. In particular,
we consider what knowledge is required and how the means for
creating this knowledge has developed over the past decade,
shifting from hand-coded rules to supervised learning methods
and now to semi-supervised and unsupervised techniques.

[[category:Seminars]]
[[category:Seminars 2009]]
[[category:Invited Presentations]]