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> Mark Sammons
"Mark Sammons" appeared in Books and Chapters
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Black Portsmouth: three centuries of African-American heritage
Mark Sammons
2004
University of New Hampshire Press
Recognizing Textual Entailment: Models and Applications
Ido Dagan
;
Dan Roth
;
Fabio Zanzotto
;
Mark Sammons
Springer International Publishing
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Showing 1 to 8 of 8 entries
Chapter
Author(s)
Book
Book Authors
Year
Publisher
Recognizing Textual Entailment
Mark Sammons
The Handbook of Contemporary Semantic Theory
Shalom Lappin
2015
John Wiley & Sons
Textual Entailment
Ido Dagan
;
Dan Roth
;
Mark Sammons
;
Fabio Massimo Zanzotto
Recognizing Textual Entailment: Models and Applications
Ido Dagan
;
Dan Roth
;
Fabio Zanzotto
;
Mark Sammons
Springer International Publishing
Architectures and Approaches
Ido Dagan
;
Dan Roth
;
Mark Sammons
;
Fabio Massimo Zanzotto
Recognizing Textual Entailment: Models and Applications
Ido Dagan
;
Dan Roth
;
Fabio Zanzotto
;
Mark Sammons
Springer International Publishing
Alignment, Classification, and Learning
Ido Dagan
;
Dan Roth
;
Mark Sammons
;
Fabio Massimo Zanzotto
Recognizing Textual Entailment: Models and Applications
Ido Dagan
;
Dan Roth
;
Fabio Zanzotto
;
Mark Sammons
Springer International Publishing
Case Studies
Ido Dagan
;
Dan Roth
;
Mark Sammons
;
Fabio Massimo Zanzotto
Recognizing Textual Entailment: Models and Applications
Ido Dagan
;
Dan Roth
;
Fabio Zanzotto
;
Mark Sammons
Springer International Publishing
Knowledge Acquisition for Textual Entailment
Ido Dagan
;
Dan Roth
;
Mark Sammons
;
Fabio Massimo Zanzotto
Recognizing Textual Entailment: Models and Applications
Ido Dagan
;
Dan Roth
;
Fabio Zanzotto
;
Mark Sammons
Springer International Publishing
Research Directions in RTE
Ido Dagan
;
Dan Roth
;
Mark Sammons
;
Fabio Massimo Zanzotto
Recognizing Textual Entailment: Models and Applications
Ido Dagan
;
Dan Roth
;
Fabio Zanzotto
;
Mark Sammons
Springer International Publishing
An Inference Model for Semantic Entailment in Natural Language
Rodrigo de Salvo Braz
;
Roxana Girju
;
Vasin Punyakanok
;
Dan Roth
;
Mark Sammons
Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, First Pascal Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers
Joaquin Quiñonero-Candela
;
Ido Dagan
;
Bernardo Magnini
;
Florence d’Alché-Buc
2006
Springer Berlin Heidelberg
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Book
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Showing 1 to 8 of 8 entries
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