"Recognizing Textual Entailment: Models and Applications"

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Book	Author(s)	Year	Publisher
Recognizing Textual Entailment: Models and Applications	Ido Dagan; Dan Roth; Fabio Zanzotto; Mark Sammons		Springer International Publishing
Textual Information Access: Statistical Models	Eric Gaussier	2012	John Wiley & Sons
Theoretical models for visual and textual representation /	Bossano, Luis.	[1991], ©1991.	Center for Environmental Design Research, University of California at Berkeley,
Mixture Models and Applications	Nizar Bouguila; Wentao Fan	1st ed. 2020	Springer International Publishing
Probability models and applications	Ingram Olkin	1980	Macmillan
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
Entailment: The Logic of Relevance and Necessity	Alan Ross Anderson and Nuel D.Belnap, Jr.	1990	Princeton Univ Pr
Mathematical Models, Methods and Applications	Abul Hasan Siddiqi; Pammy Manchanda; Rashmi Bhardwaj	1st ed. 2015	Springer Nature Singapore
Contextual Computing: Models and Applications	Robert Porzel	2011	Springer Berlin Heidelberg
Regression: Models, Methods and Applications	Ludwig Fahrmeir; Thomas Kneib; Stefan Lang; Brian Marx	2013	Springer Berlin Heidelberg
Semi-Markov Models and Applications	Jacques Janssen; Nikolaos Limnios	1999	Springer US
Concrete Fracture Models and Applications	Shailendra Kumar; Sudhirkumar V Barai	2011	Springer Berlin Heidelberg
Network Models and Associated Applications	D. Klingman; John M. Mulvey	1981	Springer Berlin Heidelberg
Bioorganic Chemistry: Models and Applications	F.P. Schmidtchen	1997	Springer Berlin Heidelberg
Survival Analysis - Models and Applications	Xian Liu	2012	John Wiley & Sons
Regression: Models, Methods and Applications	Ludwig Fahrmeir; Thomas Kneib; Stefan Lang; Brian D. Marx	2nd ed. 2021	Springer Berlin Heidelberg
Nonlinear Optimization: Models and Applications	William P. Fox	2020	Routledge
Hidden Markov Models and Applications	Nizar Bouguila; Wentao Fan; Manar Amayri	1st ed. 2022	Springer International Publishing
Financial valuation: applications and models	James R. Hitchner	2011	Wiley
University physics: models and applications	William P. Crummett; Arthur B. Western	1994	Wm. C. Brown
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Recognizing Textual Entailment		Natural language processing with Python	Bird, Steven; Klein, Ewan; Loper, Edward	2009	O'Reilly Media
Recognizing Textual Entailment	Mark Sammons	The Handbook of Contemporary Semantic Theory	Shalom Lappin	2015	John Wiley & Sons
Recognizing Textual Entailment (RTE)		Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more	Denis Rothman	2021	Packt Publishing Ltd
AORTE for Recognizing Textual Entailment	Reda Siblini; Leila Kosseim	Computational Linguistics and Intelligent Text Processing: 10th International Conference, CICLing 2009, Mexico City, Mexico, March 1-7, 2009, Proceedings	Alexander Gelbukh	2009	Springer Berlin Heidelberg
Recognizing Textual Entailment and Computational Semantics	Johan Bos	Computing Meaning: Volume 4	Harry Bunt; Johan Bos; Stephen Pulman	2014	Springer Netherlands
Recognizing Textual Entailment with Statistical Methods	Miguel Angel Ríos Gaona; Alexander Gelbukh; Sivaji Bandyopadhyay	Advances in Pattern Recognition: Second Mexican Conference on Pattern Recognition, MCPR 2010, Puebla, Mexico, September 27-29, 2010, Proceedings	José Francisco Martínez-Trinidad; Jesús Ariel Carrasco-Ochoa; Josef Kittler	2010	Springer Berlin Heidelberg
Recognizing Textual Entailment Via Atomic Propositions	Elena Akhmatova; Diego Mollá	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
Recognizing Textual Entailment Using Inference Phenomenon	Han Ren; Xia Li; Wenhe Feng; Jing Wan	Chinese Lexical Semantics: 18th Workshop, CLSW 2017, Leshan, China, May 18–20, 2017, Revised Selected Papers	Yunfang Wu; Jia-Fei Hong; Qi Su	1st ed. 2018	Springer International Publishing
Recognizing Textual Entailment and Paraphrases in Portuguese	Gil Rocha; Henrique Lopes Cardoso	Progress in Artificial Intelligence: 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Porto, Portugal, September 5-8, 2017, Proceedings	Eugénio Oliveira; João Gama; Zita Vale; Henrique Lopes Cardoso	1st ed. 2017	Springer International Publishing
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
Textual Entailment	Sebastian Padó; Ido Dagan	The Oxford Handbook of Computational Linguistics	Ruslan Mitkov	2022	Oxford University Press
Textual Entailment		Natural language processing with Python	Bird, Steven; Klein, Ewan; Loper, Edward	2009	O'Reilly Media
Textual Entailment		Natural Language Processing and Machine Learning for Developers	Oswald Campesato	2021	Mercury Learning and Information
Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment	Zhipeng Xie; Junfeng Hu	Database Systems for Advanced Applications: 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part I	Selçuk Candan; Lei Chen; Torben Bach Pedersen; Lijun Chang; Wen Hua	1st ed. 2017	Springer International Publishing
Recognizing Textual Entailment: Is Word Similarity Enough?	Valentin Jijkoun; Maarten de Rijke	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
Techniques for Recognizing Textual Entailment and Semantic Equivalence	Jesús Herrera; Anselmo Peñas; Felisa Verdejo	Current Topics in Artificial Intelligence: 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela, Spain, November 16-18, 2005, Revised Selected Papers	Roque Marín; Eva Onaindía; Alberto Bugarín; José Santos	2006	Springer Berlin Heidelberg
The Recognizing Textual Entailment Challenges: Datasets and Methodologies	Luisa Bentivogli; Ido Dagan; Bernardo Magnini	Handbook of Linguistic Annotation	Nancy Ide; James Pustejovsky	1st ed. 2017	Springer Netherlands
Combining Transformation and Classification for Recognizing Textual Entailment	Han Ren; Jing Wan; Xiaomei Chen	Computational Intelligence and Intelligent Systems: 10th International Symposium, ISICA 2018, Jiujiang, China, October 13–14, 2018, Revised Selected Papers	Hu Peng; Changshou Deng; Zhijian Wu; Yong Liu	1st ed. 2019	Springer Nature Singapore
Recognizing textual entailment by detecting lexical and semantic alignment	Z.H. Wang, R. Wang &a; P. Zhu	Control, Mechatronics and Automation Technology: Proceedings of the International Conference on Control, Mechatronics and Automation Technology (ICCMAT 2014), July 24-25, 2014, Beijing, China	Dawei Zheng	2015	Routledge
Recognizing Textual Entailment with Attentive Reading and Writing Operations	Liang Liu; Huan Huo; Xiufeng Liu; Vasile Palade; Dunlu Peng; Qingkui Chen	Database Systems for Advanced Applications: 23rd International Conference, DASFAA 2018, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings, Part I	Jian Pei; Yannis Manolopoulos; Shazia Sadiq; Jianxin Li	1st ed. 2018	Springer International Publishing
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