Textual Entailment References - Revision history

Sbowman: /* Workshops */ Adding RepEval shared task.

2017-05-29T15:30:10Z

Workshops: Adding RepEval shared task.

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	=== Workshops ===		=== Workshops ===

			[https://repeval2017.github.io/ RepEval 2017: The Second Workshop on Evaluating Vector Space Representations for NLP] (featuring a shared task on RTE)

	[http://u.cs.biu.ac.il/~nlp/workshop14/index.html Semantic Text Processing Symposium - Industrial Outlook]		[http://u.cs.biu.ac.il/~nlp/workshop14/index.html Semantic Text Processing Symposium - Industrial Outlook]
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	[http://www.pascal-network.org/Challenges/RTE/ First PASCAL Recognising Textual Entailment Challenge (RTE-1), 2005]		[http://www.pascal-network.org/Challenges/RTE/ First PASCAL Recognising Textual Entailment Challenge (RTE-1), 2005]



	=== Papers in recent conferences and other workshops ===		=== Papers in recent conferences and other workshops ===

Alberto Lavelli at 10:42, 29 June 2016

2016-06-29T10:42:55Z

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	E. Cabrio, B. Magnini, A. Ivanova. 2012. Extracting Context-Rich Entailment Rules from Wikipedia Revision History. In Proceedings of the ACL 2012 Workshop on People's Web meets NLP.		E. Cabrio, B. Magnini, A. Ivanova. 2012. Extracting Context-Rich Entailment Rules from Wikipedia Revision History. In Proceedings of the ACL 2012 Workshop on People's Web meets NLP.

	C. Corley, A. Csomai and R. Mihalcea. 2005. Text Semantic Similarity, with Applications.		C. Corley, A. Csomai and R. Mihalcea. 2005. Text Semantic Similarity, with Applications. RANLP-05.
	RANLP-05.

	I. Dagan and O. Glickman. 2004. Probabilistic textual entailment: Generic applied modeling of language variability. In PASCAL Workshop on Learning Methods for Text Understanding and Mining, Grenoble.		I. Dagan and O. Glickman. 2004. Probabilistic textual entailment: Generic applied modeling of language variability. In PASCAL Workshop on Learning Methods for Text Understanding and Mining, Grenoble.
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	H. Weisman; J. Berant; I. Szpektor; I. Dagan. 2012. Learning Verb Inference Rules from Linguistically-Motivated Evidence. In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning.		H. Weisman; J. Berant; I. Szpektor; I. Dagan. 2012. Learning Verb Inference Rules from Linguistically-Motivated Evidence. In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning.

			R. Zanoli and S. Colombo. 2016. A Transformation-driven Approach for Recognizing Textual Entailment. Journal of Natural Language Engineering. [http://dx.doi.org/10.1017/S1351324916000176]

	F. M. Zanzotto and A. Moschitti. 2006. Automatic learning of textual entailments with cross-pair similarities. COLING-ACL 2006		F. M. Zanzotto and A. Moschitti. 2006. Automatic learning of textual entailments with cross-pair similarities. COLING-ACL 2006

Roybar: /* Journal papers */

2016-04-24T16:24:38Z

Journal papers

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	Roy Bar-Haim, Ido Dagan and Jonathan Berant. 2015. Knowledge-Based Textual Inference via Parse-Tree Transformations. Journal of Artificial Intelligence Research, vol. 54, pp 1-57. [http://www.jair.org/papers/paper4584.html]		Roy Bar-Haim, Ido Dagan and Jonathan Berant. 2015. Knowledge-Based Textual Inference via Parse-Tree Transformations. Journal of Artificial Intelligence Research, vol. 54, pp 1-57. [http://www.jair.org/papers/paper4584.html]

	Elena Cabrio and Bernardo Magnini. 2013. Decomposing Semantic Inferences. LILT - Linguistic Issues in Language Technology, Special issue on Semantic Inferences, volume 9, CSLI Publications.		Elena Cabrio and Bernardo Magnini. 2013. Decomposing Semantic Inferences. LILT - Linguistic Issues in Language Technology, Special issue on Semantic Inferences, volume 9, CSLI Publications.

Roybar: /* Journal papers */

2016-04-24T16:24:11Z

Journal papers

← Older revision		Revision as of 16:24, 24 April 2016
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	I. Androutsopoulos and P. Malakasiotis. 2010. A Survey of Paraphrasing and Textual Entailment Methods. Journal of Artificial Intelligence Research, vol. 38, pp. 135-187. [http://www.jair.org/papers/paper2985.html]		I. Androutsopoulos and P. Malakasiotis. 2010. A Survey of Paraphrasing and Textual Entailment Methods. Journal of Artificial Intelligence Research, vol. 38, pp. 135-187. [http://www.jair.org/papers/paper2985.html]

			Roy Bar-Haim, Ido Dagan and Jonathan Berant. 2015. Knowledge-Based Textual Inference via Parse-Tree Transformations. Journal of Artificial Intelligence Research, vol. 54, pp 1-57. [http://www.jair.org/papers/paper4584.html]
	Elena Cabrio and Bernardo Magnini. 2013. Decomposing Semantic Inferences. LILT - Linguistic Issues in Language Technology, Special issue on Semantic Inferences, volume 9, CSLI Publications.		Elena Cabrio and Bernardo Magnini. 2013. Decomposing Semantic Inferences. LILT - Linguistic Issues in Language Technology, Special issue on Semantic Inferences, volume 9, CSLI Publications.

Alberto Lavelli at 15:44, 11 February 2015

2015-02-11T15:44:30Z

← Older revision		Revision as of 15:44, 11 February 2015
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	Alejandro Figueroa and Günter Neumann. 2014. Category-specific models for ranking effective paraphrases in community Question Answering. Expert Systems With Applications, Volume 41, Issue 10, August 2014, Pages 4730–4742.		Alejandro Figueroa and Günter Neumann. 2014. Category-specific models for ranking effective paraphrases in community Question Answering. Expert Systems With Applications, Volume 41, Issue 10, August 2014, Pages 4730–4742.

			Lili Kotlerman, Ido Dagan, Bernardo Magnini, and Luisa Bentivogli. forthcoming. Textual Entailment Graphs. To appear in Journal of Natural Language Engineering, Special Issue on Graphs for NLP.

	Lili Kotlerman, Ido Dagan, Idan Szpektor, and Maayan Zhitomirsky-Geffet. 2010. Directional distributional similarity for lexical inference. Journal of Natural Language Engineering, 16(4), 359-389. [http://u.cs.biu.ac.il/~dagan/publications/directional-distsim.pdf pdf]		Lili Kotlerman, Ido Dagan, Idan Szpektor, and Maayan Zhitomirsky-Geffet. 2010. Directional distributional similarity for lexical inference. Journal of Natural Language Engineering, 16(4), 359-389. [http://u.cs.biu.ac.il/~dagan/publications/directional-distsim.pdf pdf]
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	Peter D. Turney and Saif M. Mohammad. 2014. Experiments with three approaches to recognizing lexical entailment. Journal of Natural Language Engineering, in press. [http://arxiv.org/abs/1401.8269 pdf]		Peter D. Turney and Saif M. Mohammad. 2014. Experiments with three approaches to recognizing lexical entailment. Journal of Natural Language Engineering, in press. [http://arxiv.org/abs/1401.8269 pdf]

	J. Utt and S. Pado. 2014. Crosslingual and multilingual construction of syntax- based vector space models. ~~To appear in~~ Transactions of the Association of Computational Linguistics.		J. Utt and S. Pado. 2014. Crosslingual and multilingual construction of syntax-based vector space models. Transactions of the Association of Computational Linguistics, volume 2, issue 1. [http://anthology.aclweb.org/Q/Q14/Q14-1020.pdf]

	=== Books ===		=== Books ===

Alberto Lavelli at 10:51, 15 January 2015

2015-01-15T10:51:36Z

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	=== Workshops ===		=== Workshops ===

			[http://u.cs.biu.ac.il/~nlp/workshop14/index.html Semantic Text Processing Symposium - Industrial Outlook]

	[http://jssp2013.fbk.eu/ Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora]		[http://jssp2013.fbk.eu/ Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora]

Alberto Lavelli at 14:43, 4 July 2014

2014-07-04T14:43:45Z

← Older revision		Revision as of 14:43, 4 July 2014
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	M. Kouylekov and B. Magnini. 2005. Tree Edit Distance for Textual Entailment. RANLP 2005.		M. Kouylekov and B. Magnini. 2005. Tree Edit Distance for Textual Entailment. RANLP 2005.

			Omer Levy, Ido Dagan, and Jacob Goldberger. 2014. Focused Entailment Graphs for Open IE Propositions. In Proceedings of CoNLL 2014.

			Omer Levy and Yoav Goldberg. 2014. Linguistic Regularities in Sparse and Explicit Word Representations. In Proceedings of CoNLL 2014.

			Omer Levy and Yoav Goldberg. 2014. Dependency-Based Word Embeddings. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014) - Short Papers, Baltimore, Maryland.

	O. Levy, T. Zesch, I. Dagan, I. Gurevych. 2013. Recognizing Partial Textual Entailment. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria.		O. Levy, T. Zesch, I. Dagan, I. Gurevych. 2013. Recognizing Partial Textual Entailment. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria.
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	B. MacCartney, T. Grenager, M. de Marneffe, D. Cer and C. D. Manning. 2006. Learning to Recognize Features of Valid Textual Entailments. HLT-NAACL 2006.		B. MacCartney, T. Grenager, M. de Marneffe, D. Cer and C. D. Manning. 2006. Learning to Recognize Features of Valid Textual Entailments. HLT-NAACL 2006.

			B. Magnini, R. Zanoli, I. Dagan, K. Eichler, G. Neumann, T.-G. Noh, S. Pado, A. Stern, O. Levy. 2014. The EXCITEMENT Open Platform for Textual Inferences. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), Baltimore, Maryland.

	M. Makatchev, P. W. Jordan, K. Vanlehn. 2004. Abductive Theorem Proving for Analyzing Student Explanations to Guide Feedback in Intelligent Tutoring Systems. Journal of Automated Reasoning, 32(3).		M. Makatchev, P. W. Jordan, K. Vanlehn. 2004. Abductive Theorem Proving for Analyzing Student Explanations to Guide Feedback in Intelligent Tutoring Systems. Journal of Automated Reasoning, 32(3).
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	O. Melamud, J. Berant, I. Dagan, J. Goldberger, I. Szpektor. 2013. A Two Level Model for Context Sensitive Inference Rules. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria.		O. Melamud, J. Berant, I. Dagan, J. Goldberger, I. Szpektor. 2013. A Two Level Model for Context Sensitive Inference Rules. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria.

			Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor and Deniz Yuret. 2014. Probabilistic Modeling of Joint-context in Distributional Similarity. In Proceedings of CoNLL 2014.

	Shachar Mirkin, Ido Dagan, Maayan Geffet. 2006. Integrating Pattern-based and Distributional Similarity Methods for Lexical Entailment Acquisition. COLING-ACL 2006 [http://aclweb.org/anthology-new/P/P06/P06-2075.pdf pdf]		Shachar Mirkin, Ido Dagan, Maayan Geffet. 2006. Integrating Pattern-based and Distributional Similarity Methods for Lexical Entailment Acquisition. COLING-ACL 2006 [http://aclweb.org/anthology-new/P/P06/P06-2075.pdf pdf]
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	R. Snow, L. Vanderwende and A. Menezes. 2006. Effectively Using Syntax for Recognizing False Entialment. HLT-NAACL 2006.		R. Snow, L. Vanderwende and A. Menezes. 2006. Effectively Using Syntax for Recognizing False Entialment. HLT-NAACL 2006.

			Gabriel Stanovsky, Jessica Ficler, Ido Dagan and Yoav Goldberg. 2014. Intermediary Semantic Representation Through Proposition Structures. In Proceedings of the ACL workshop on Semantic Parsing.

	A. Stern, R. Stern, I. Dagan, A. Felner. 2012. Efficient Search for Transformation-based Inference. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012).		A. Stern, R. Stern, I. Dagan, A. Felner. 2012. Efficient Search for Transformation-based Inference. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012).

	A. Stern, I. Dagan. 2012. BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment. In Proceedings of the ACL 2012 System Demonstrations.		A. Stern, I. Dagan. 2012. BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment. In Proceedings of the ACL 2012 System Demonstrations.

			Asher Stern and Ido Dagan. 2014. Recognizing Implied Predicate-Argument Relationships in Textual Inference. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014) - Short Papers, Baltimore, Maryland.

	I. Szpektor, I. Dagan, R. Bar-Haim and J. Goldberger. 2008. Contextual Preferences. ACL 2008		I. Szpektor, I. Dagan, R. Bar-Haim and J. Goldberger. 2008. Contextual Preferences. ACL 2008
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	Torsten Zesch, Omer Levy, Iryna Gurevych, Ido Dagan. 2013. UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013).		Torsten Zesch, Omer Levy, Iryna Gurevych, Ido Dagan. 2013. UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013).

			Torsten Zesch and Oren Melamud. 2014. Automatic Generation of Challenging Distractors Using Context-Sensitive Inference Rules. In Proceedings of the 9th Workshop on Innovative Use of NLP for Building Educational Applications (BEA).

	=== Journal papers ===		=== Journal papers ===
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	Ido Dagan, Bill Dolan, Bernardo Magnini and Dan Roth. 2009. Recognizing Textual Entailment: Rational, Evaluation and Approaches. Journal of Natural Language Engineering, vol. 15(4), pp. i-xvii.		Ido Dagan, Bill Dolan, Bernardo Magnini and Dan Roth. 2009. Recognizing Textual Entailment: Rational, Evaluation and Approaches. Journal of Natural Language Engineering, vol. 15(4), pp. i-xvii.

			Alejandro Figueroa and Günter Neumann. 2014. Category-specific models for ranking effective paraphrases in community Question Answering. Expert Systems With Applications, Volume 41, Issue 10, August 2014, Pages 4730–4742.

	Lili Kotlerman, Ido Dagan, Idan Szpektor, and Maayan Zhitomirsky-Geffet. 2010. Directional distributional similarity for lexical inference. Journal of Natural Language Engineering, 16(4), 359-389. [http://u.cs.biu.ac.il/~dagan/publications/directional-distsim.pdf pdf]		Lili Kotlerman, Ido Dagan, Idan Szpektor, and Maayan Zhitomirsky-Geffet. 2010. Directional distributional similarity for lexical inference. Journal of Natural Language Engineering, 16(4), 359-389. [http://u.cs.biu.ac.il/~dagan/publications/directional-distsim.pdf pdf]
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	Peter D. Turney and Saif M. Mohammad. 2014. Experiments with three approaches to recognizing lexical entailment. Journal of Natural Language Engineering, in press. [http://arxiv.org/abs/1401.8269 pdf]		Peter D. Turney and Saif M. Mohammad. 2014. Experiments with three approaches to recognizing lexical entailment. Journal of Natural Language Engineering, in press. [http://arxiv.org/abs/1401.8269 pdf]

			J. Utt and S. Pado. 2014. Crosslingual and multilingual construction of syntax- based vector space models. To appear in Transactions of the Association of Computational Linguistics.

	=== Books ===		=== Books ===

Alberto Lavelli at 14:33, 4 July 2014

2014-07-04T14:33:02Z

← Older revision		Revision as of 14:33, 4 July 2014
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	=== Tutorials ===		=== Tutorials ===

			[http://www.esslli2014.info/program/week-one/course-03 Course on Textual Inference at ESSLLI 2014]

	[http://jssp2013.fbk.eu/node/4#TE-tutorial JSSP 2013 Tutorial on Textual Entailment, 2013]		[http://jssp2013.fbk.eu/node/4#TE-tutorial JSSP 2013 Tutorial on Textual Entailment, 2013]

Pdturney at 12:55, 12 February 2014

2014-02-12T12:55:32Z

← Older revision		Revision as of 12:55, 12 February 2014
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	R. Bar-Haim, J. Berant and I. Dagan. 2009. A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules. EMNLP 2009. [http://aclweb.org/anthology//D/D09/D09-1110.pdf pdf]		R. Bar-Haim, J. Berant and I. Dagan. 2009. A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules. EMNLP 2009. [http://aclweb.org/anthology//D/D09/D09-1110.pdf pdf]

			Marco Baroni, Raffaella Bernardi, Ngoc-Quynh Do, and Chung-chieh Shan. 2012. Entailment above the word level in distributional semantics. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012), pp. 23–32, Avignon, France. [http://oldsite.aclweb.org/anthology-new/E/E12/E12-1004.pdf pdf]

	L. Bentivogli, P. Clark, I. Dagan, D. Giampiccolo. 2011. The Seventh PASCAL Recognizing Textual Entailment Challenge. Proceedings of TAC 2011. [http://www.nist.gov/tac/publications/2011/additional.papers/RTE7_overview.proceedings.pdf pdf]		L. Bentivogli, P. Clark, I. Dagan, D. Giampiccolo. 2011. The Seventh PASCAL Recognizing Textual Entailment Challenge. Proceedings of TAC 2011. [http://www.nist.gov/tac/publications/2011/additional.papers/RTE7_overview.proceedings.pdf pdf]
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	Ido Dagan, Bill Dolan, Bernardo Magnini and Dan Roth. 2009. Recognizing Textual Entailment: Rational, Evaluation and Approaches. Journal of Natural Language Engineering, vol. 15(4), pp. i-xvii.		Ido Dagan, Bill Dolan, Bernardo Magnini and Dan Roth. 2009. Recognizing Textual Entailment: Rational, Evaluation and Approaches. Journal of Natural Language Engineering, vol. 15(4), pp. i-xvii.

			Lili Kotlerman, Ido Dagan, Idan Szpektor, and Maayan Zhitomirsky-Geffet. 2010. Directional distributional similarity for lexical inference. Journal of Natural Language Engineering, 16(4), 359-389. [http://u.cs.biu.ac.il/~dagan/publications/directional-distsim.pdf pdf]

	S. Pado, T.-G. Noh, A. Stern, R. Wang, R. Zanoli. 2014. Design and Realization of a Modular Architecture for Textual Entailment. Journal of Natural Language Engineering, Cambridge University Press.		S. Pado, T.-G. Noh, A. Stern, R. Wang, R. Zanoli. 2014. Design and Realization of a Modular Architecture for Textual Entailment. Journal of Natural Language Engineering, Cambridge University Press.

	Asher Stern and Ido Dagan. 2013. The BIUTEE Research Platform for Transformation-based Textual Entailment Recognition. LILT - Linguistic Issues in Language Technology, Special issue on Semantic Inferences, volume 9, CSLI Publications.		Asher Stern and Ido Dagan. 2013. The BIUTEE Research Platform for Transformation-based Textual Entailment Recognition. LILT - Linguistic Issues in Language Technology, Special issue on Semantic Inferences, volume 9, CSLI Publications.

			Peter D. Turney and Saif M. Mohammad. 2014. Experiments with three approaches to recognizing lexical entailment. Journal of Natural Language Engineering, in press. [http://arxiv.org/abs/1401.8269 pdf]

	=== Books ===		=== Books ===

Alberto Lavelli at 07:55, 12 February 2014

2014-02-12T07:55:07Z

← Older revision		Revision as of 07:55, 12 February 2014
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	R. Braz, R. Girju, V. Punyakanok, D. Roth, and M. Sammons. 2005. Knowledge Representation for Semantic Entailment and Question-Answering. IJCAI-05 Workshop on Knowledge and Reasoning for Answering Questions.		R. Braz, R. Girju, V. Punyakanok, D. Roth, and M. Sammons. 2005. Knowledge Representation for Semantic Entailment and Question-Answering. IJCAI-05 Workshop on Knowledge and Reasoning for Answering Questions.

	Elena Cabrio and Bernardo Magnini. forthcoming. Decomposing Semantic Inferences. Accepted for publication in LILT - Linguistic Issues in Language Technology, Special issue on Semantic Inferences, CSLI Publications.

	E. Cabrio, B. Magnini, A. Ivanova. 2012. Extracting Context-Rich Entailment Rules from Wikipedia Revision History. In Proceedings of the ACL 2012 Workshop on People's Web meets NLP.		E. Cabrio, B. Magnini, A. Ivanova. 2012. Extracting Context-Rich Entailment Rules from Wikipedia Revision History. In Proceedings of the ACL 2012 Workshop on People's Web meets NLP.
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	S. Padó, J. Šnajder, B. Zeller. 2013. Derivational Smoothing for Syntactic Distributional Semantics. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria.		S. Padó, J. Šnajder, B. Zeller. 2013. Derivational Smoothing for Syntactic Distributional Semantics. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria.

	S. Pado, T.-G. Noh, A. Stern, R. Wang, R. Zanoli. forthcoming. Design and Realization of a Modular Architecture for Textual Entailment. Journal of Natural Language Engineering. Accepted for publication.

	M. T. Pazienza, M. Pennacchiotti and F. M. Zanzotto . 2006. Discovering asymmetric entailment relations between verbs using selectional preferences. COLING-ACL 2006		M. T. Pazienza, M. Pennacchiotti and F. M. Zanzotto . 2006. Discovering asymmetric entailment relations between verbs using selectional preferences. COLING-ACL 2006
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	I. Androutsopoulos and P. Malakasiotis. 2010. A Survey of Paraphrasing and Textual Entailment Methods. Journal of Artificial Intelligence Research, vol. 38, pp. 135-187. [http://www.jair.org/papers/paper2985.html]		I. Androutsopoulos and P. Malakasiotis. 2010. A Survey of Paraphrasing and Textual Entailment Methods. Journal of Artificial Intelligence Research, vol. 38, pp. 135-187. [http://www.jair.org/papers/paper2985.html]

			Elena Cabrio and Bernardo Magnini. 2013. Decomposing Semantic Inferences. LILT - Linguistic Issues in Language Technology, Special issue on Semantic Inferences, volume 9, CSLI Publications.

	Ido Dagan, Bill Dolan, Bernardo Magnini and Dan Roth. 2009. Recognizing Textual Entailment: Rational, Evaluation and Approaches. Journal of Natural Language Engineering, vol. 15(4), pp. i-xvii.		Ido Dagan, Bill Dolan, Bernardo Magnini and Dan Roth. 2009. Recognizing Textual Entailment: Rational, Evaluation and Approaches. Journal of Natural Language Engineering, vol. 15(4), pp. i-xvii.

	S. Pado, T.-G. Noh, A. Stern, R. Wang, R. Zanoli. ~~forthcoming~~. Design and Realization of a Modular Architecture for Textual Entailment. Journal of Natural Language Engineering. ~~Accepted~~ for ~~publication~~.		S. Pado, T.-G. Noh, A. Stern, R. Wang, R. Zanoli. 2014. Design and Realization of a Modular Architecture for Textual Entailment. Journal of Natural Language Engineering, Cambridge University Press.

			Asher Stern and Ido Dagan. 2013. The BIUTEE Research Platform for Transformation-based Textual Entailment Recognition. LILT - Linguistic Issues in Language Technology, Special issue on Semantic Inferences, volume 9, CSLI Publications.

	=== Books ===		=== Books ===