Textual Entailment Portal - Revision history

Alberto Lavelli at 09:42, 7 August 2013

2013-08-07T09:42:15Z

← Older revision		Revision as of 09:42, 7 August 2013
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	Recognizing Textual Entailment (RTE) has been proposed recently as a generic task that captures major semantic inference needs across many natural language processing applications.		Recognizing Textual Entailment (RTE) has been proposed recently as a generic task that captures major semantic inference needs across many natural language processing applications.



	This page serves as a community portal for everything related to Textual Entailment:		This page serves as a community portal for everything related to Textual Entailment:

Pdturney: Reverted edits by Creek (talk) to last revision by StuartLaJoie

2012-06-25T11:19:36Z

Reverted edits by Creek (talk) to last revision by StuartLaJoie

← Older revision		Revision as of 11:19, 25 June 2012
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	An example of a positive TE (text entails hypothesis) is:		An example of a positive TE (text entails hypothesis) is:
	* text: ''If you help the needy, God will reward you''.		* text: ''If you help the needy, God will reward you''.
	* hypothesis: ''Giving money to ~~[http://www.thai-sbobet.com sbobet]~~a poor man has good consequences''.		* hypothesis: ''Giving money to a poor man has good consequences''.

	An example of a negative TE (text contradicts hypothesis) is:		An example of a negative TE (text contradicts hypothesis) is:

Creek at 10:13, 25 June 2012

2012-06-25T10:13:03Z

← Older revision		Revision as of 10:13, 25 June 2012
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	An example of a positive TE (text entails hypothesis) is:		An example of a positive TE (text entails hypothesis) is:
	* text: ''If you help the needy, God will reward you''.		* text: ''If you help the needy, God will reward you''.
	* hypothesis: ''Giving money to a poor man has good consequences''.		* hypothesis: ''Giving money to [http://www.thai-sbobet.com sbobet]a poor man has good consequences''.

	An example of a negative TE (text contradicts hypothesis) is:		An example of a negative TE (text contradicts hypothesis) is:

StuartLaJoie: reference

2011-08-10T20:15:54Z

reference

← Older revision		Revision as of 20:15, 10 August 2011
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	* hypothesis: ''Giving money to a poor man will make you better person''.		* hypothesis: ''Giving money to a poor man will make you better person''.

	The entailment need not be pure logical - it has a more relaxed definition: "t entails h (t ⇒ h) if, typically, a human reading t would infer that h is most likely true."<ref>I. ~~Dagan~~</ref>		The entailment need not be pure logical - it has a more relaxed definition: "t entails h (t ⇒ h) if, typically, a human reading t would infer that h is most likely true."<ref>[http://u.cs.biu.ac.il/~dagan/publications/RTEChallenge.pdf Ido Dagan, Oren Glickman and Bernardo Magnini. The PASCAL Recognising Textual Entailment Challenge, p. 2] ''in:'' Quiñonero-Candela, J.; Dagan, I.; Magnini, B.; d'Alché-Buc, F. (Eds.) ''Machine Learning Challenges. Lecture Notes in Computer Science'' , Vol. 3944, pp. 177-190, Springer, 2006.</ref>

	Recognizing Textual Entailment (RTE) has been proposed recently as a generic task that captures major semantic inference needs across many natural language processing applications.		Recognizing Textual Entailment (RTE) has been proposed recently as a generic task that captures major semantic inference needs across many natural language processing applications.
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	* PASCAL Challenge - [[Recognizing Textual Entailment\|Recognizing Textual Entailment (RTE)]]		* PASCAL Challenge - [[Recognizing Textual Entailment\|Recognizing Textual Entailment (RTE)]]
	* [[Textual Entailment References]] - Workshops, Tutorials and Papers.		* [[Textual Entailment References]] - Workshops, Tutorials and Papers.
			==Notes==
			<references/>

	[[Category:Textual Entailment Portal]]		[[Category:Textual Entailment Portal]]

Erel Segal at 10:51, 30 December 2010

2010-12-30T10:51:45Z

← Older revision		Revision as of 10:51, 30 December 2010
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	'''Textual Entailment''' (TE) is ~~the task of judging whether~~ the truth of one text fragment follows from another text. In the TE framework, the entailing and entailed texts are termed ''text'' and ''hypothesis'', respectively.		'''Textual Entailment''' (TE) is a directional relation between text fragments. The relation holds whenever the truth of one text fragment follows from another text. In the TE framework, the entailing and entailed texts are termed ''text'' and ''hypothesis'', respectively.

	An example of a positive TE (text entails hypothesis) is:		An example of a positive TE (text entails hypothesis) is:

Erel Segal at 12:13, 22 December 2010

2010-12-22T12:13:10Z

← Older revision		Revision as of 12:13, 22 December 2010
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	This page serves as a community portal for everything related to Textual Entailment:		This page serves as a community portal for everything related to Textual Entailment:
	* [[Textual Entailment Resource Pool]] - ~~Entailment engines~~, ~~demos~~, ~~knowledge resources~~, ~~etc~~.		* [[Textual Entailment Resource Pool]] - Complete RTE Systems, RTE data sets, Knowledge Resources, Tools (Parsers, Role Labelling, Entity Recognition Tools, Similarity / Relatedness Tools, Corpus Readers, Related Libraries), Links.
	* PASCAL Challenge - [[Recognizing Textual Entailment\|Recognizing Textual Entailment (RTE)]]		* PASCAL Challenge - [[Recognizing Textual Entailment\|Recognizing Textual Entailment (RTE)]]
	* [[Textual Entailment References]] - ~~workshops~~, ~~tutorials~~ and ~~papers~~.		* [[Textual Entailment References]] - Workshops, Tutorials and Papers.

	[[Category:Textual Entailment Portal]]		[[Category:Textual Entailment Portal]]

Erel Segal: Moved the references to a seperate page

2010-12-22T12:09:55Z

Moved the references to a seperate page

Show changes

Erel Segal at 11:38, 22 December 2010

2010-12-22T11:38:48Z

← Older revision		Revision as of 11:38, 22 December 2010
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	* hypothesis: ''Giving money to a poor man will make you better person''.		* hypothesis: ''Giving money to a poor man will make you better person''.

	The entailment need not be pure logical - it has a more relaxed definition: "t entails h (t ⇒ h) if, typically, a human reading t would infer that h is most likely true."		The entailment need not be pure logical - it has a more relaxed definition: "t entails h (t ⇒ h) if, typically, a human reading t would infer that h is most likely true."<ref>I. Dagan</ref>

	This page serves as a community portal for everything related to Textual Entailment.		This page serves as a community portal for everything related to Textual Entailment.

Erel Segal at 11:36, 22 December 2010

2010-12-22T11:36:14Z

← Older revision		Revision as of 11:36, 22 December 2010
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	* text: ''If you help the needy, God will reward you''.		* text: ''If you help the needy, God will reward you''.
	* hypothesis: ''Giving money to a poor man will make you better person''.		* hypothesis: ''Giving money to a poor man will make you better person''.

			The entailment need not be pure logical - it has a more relaxed definition: "t entails h (t ⇒ h) if, typically, a human reading t would infer that h is most likely true."

	This page serves as a community portal for everything related to Textual Entailment.		This page serves as a community portal for everything related to Textual Entailment.

Erel Segal: definition and examples

2010-12-22T10:59:37Z

definition and examples

← Older revision		Revision as of 10:59, 22 December 2010
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			'''Textual Entailment''' (TE) is the task of judging whether the truth of one text fragment follows from another text. In the TE framework, the entailing and entailed texts are termed ''text'' and ''hypothesis'', respectively.

			An example of a positive TE (text entails hypothesis) is:
			* text: ''If you help the needy, God will reward you''.
			* hypothesis: ''Giving money to a poor man has good consequences''.

			An example of a negative TE (text contradicts hypothesis) is:
			* text: ''If you help the needy, God will reward you''.
			* hypothesis: ''Giving money to a poor man has no consequences''.

			An example of a non-TE (text does not entail nor contradict) is:
			* text: ''If you help the needy, God will reward you''.
			* hypothesis: ''Giving money to a poor man will make you better person''.

	This page serves as a community portal for everything related to Textual Entailment.		This page serves as a community portal for everything related to Textual Entailment.