Textual Entailment References
Textual Entailment > References:
You are welcome to update this list with new papers on textual entailment (please keep the new references in the same format, and maintain the alphabetical order).
For challenges and tasks, usually only overview papers are listed. Papers describing systems participating to RTE challenges can be found in the web page of the challenges and tasks.
Tutorials
Course on Textual Inference at ESSLLI 2014
JSSP 2013 Tutorial on Textual Entailment, 2013
Course on Textual Entailment at the DGfS-CL/EXCITEMENT Fall School 2013
AAAI 2013 Tutorial on Textual Inference, 2013
NAACL 2010 Tutorial on Recognizing Textual Entailment, 2010
ACL 2007 Tutorial on Textual Entailment, 2007
Workshops
RepEval 2017: The Second Workshop on Evaluating Vector Space Representations for NLP (featuring a shared task on RTE)
Semantic Text Processing Symposium - Industrial Outlook
Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora
The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge at SemEval 2013
Cross-Lingual Textual Entailment for Content Synchronization The Cross-Lingual Textual Entailment task at SemEval 2013.
Cross-Lingual Textual Entailment for Content Synchronization The Cross-Lingual Textual Entailment task at SemEval 2012.
TAC 2011 Recognizing Textual Entailment (RTE) Track (RTE-7), 2011
TextInfer 2011 - Workshop on Textual Entailment, 2011
TAC 2010 Recognizing Textual Entailment (RTE) Track (RTE-6), 2010
TAC 2009 Recognizing Textual Entailment (RTE) Track (RTE-5), 2009
TextInfer 2009 - Workshop on Applied Textual Inference, 2009
TAC 2008 Recognizing Textual Entailment (RTE) Track (RTE-4), 2008
Third PASCAL Recognising Textual Entailment Challenge (RTE-3), 2007
Second PASCAL Recognising Textual Entailment Challenge (RTE-2), 2006
Answer Validation Exercise at CLEF 2006 (AVE 2006)
ACL 2005 Workshop on Empirical Modeling of Semantic Equivalence and Entailment, 2005
First PASCAL Recognising Textual Entailment Challenge (RTE-1), 2005
Papers in recent conferences and other workshops
M. Adler, J. Berant, I. Dagan. 2012. Entailment-based Text Exploration with Application to the Health-care Domain. In Proceedings of the ACL 2012 System Demonstrations.
R. Bar-Haim, I. Dagan, B. Dolan, L. Ferro, D. Giampiccolo, B. Magnini and I. Szpektor. 2006. The Second PASCAL Recognising Textual Entailment Challenge. Proceedings of the Second PASCAL Recognising Textual Entailment Challenge. pdf
R. Bar-Haim, I. Dagan, I. Greental and E. Shnarch. 2007. Semantic Inference at the Lexical-Syntactic Level. AAAI 2007. pdf
R. Bar-Haim, J. Berant and I. Dagan. 2009. A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules. EMNLP 2009. 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. pdf
L. Bentivogli, P. Clark, I. Dagan, D. Giampiccolo. 2011. The Seventh PASCAL Recognizing Textual Entailment Challenge. Proceedings of TAC 2011. pdf
L. Bentivogli, P. Clark, I. Dagan, D. Giampiccolo. 2010. The Sixth PASCAL Recognizing Textual Entailment Challenge. Proceedings of TAC 2010. pdf
L. Bentivogli, I. Dagan, H. Dang, D. Giampiccolo, M. Lo Leggio, and B. Magnini . 2009. Considering Discourse References in Textual Entailment Annotation. 5th International Conference on Generative Approaches to the Lexicon (GL 2009). pdf
L. Bentivogli, B. Magnini, I. Dagan, H. Dang, D. Giampiccolo. 2009. The Fifth PASCAL Recognizing Textual Entailment Challenge. Proceedings of TAC 2009. pdf
J. Berant, I. Dagan, M. Adler, J. Goldberger. 2012. Efficient Tree-based Approximation for Entailment Graph Learning. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012).
J. Bos, K. Markert. 2005. Recognising Textual Entailment with Logical Inference. Proceedings of the 2005 Conference on Empirical Methods in Natural Language Processing (EMNLP 2005), pp. 628–635. pdf
R. Braz, R. Girju, V. Punyakanok, D. Roth, and M. Sammons. 2005. An Inference Model for Semantic Entailment in Natural Language. Twentieth National Conference on Artificial Intelligence (AAAI-05)
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.
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. 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, O. Glickman, A. Gliozzo, E. Marmorshtein and C. Strapparava. 2006. Direct Word Sense Matching for Lexical Substitution. COLING-ACL 2006
E. Daya, E. Hurvitz, M. Wasserblat, B. Magnini, G. Neumann, S. Pado, G. Fidanza, G. Gianforme, M. Meisdrock, I. Dagan. 2012. Excitement - EXploring Customer Interactions through Textual EntailMENT. In Proceedings of AVIOS 2012.
R. Delmonte, 2005. VENSES - a Linguistically-Based System for Semantic Evaluation, PLN, Procesamiento del Lenguaje Natural, Revista n° 35, ISSN:1135-5948, pp. 449-450.
R. Delmonte, 2005. Simulare la comprensione del linguaggio con VENSES. presented at Workshop "Scienze Cognitive Applicate", Facolt? di Psicologia dell'Universit? Roma "La Sapienza", 12/13-12-2005.
Georgiana Dinu and Rui Wang. 2009. Inference Rules and their Application to Recognizing Textual Entailment. EACL-09.
M. Dzikovska, R. Nielsen, C. Brew, C. Leacock, D. Giampiccolo, L. Bentivogli, P. Clark, I. Dagan, H. Dang. 2013. SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge. Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013). pdf
P. S. Feizabadi, S. Pado. 2012. Automatic Identification of Motion Verbs in WordNet and FrameNet for Locational Inference. In Proceedings of KONVENS 2012.
M. Geffet and I. Dagan. 2004. Feature Vector Quality and Distributional Similarity. Proceedings of The 20th International Conference on Computational Linguistics (COLING).
M. Geffet and I. Dagan. 2005. "The Distributional Inclusion Hypotheses and Lexical Entailment", ACL 2005, Michigan, USA.
D. Giampiccolo, H. Dang, B. Magnini, I. Dagan, E. Cabrio, B. Dolan. 2008. The Fourth PASCAL Recognizing Textual Entailment Challenge. Proceedings of TAC 2008. pdf
O. Glickman, I. Dagan and M. Koppel. 2005. A Probabilistic Classification Approach for Lexical Textual Entailment, Twentieth National Conference on Artificial Intelligence (AAAI-05)
O. Glickman, E. Shnarch and I. Dagan. 2006. Lexical Reference: a Semantic Matching Subtask. EMNLP 2006 (poster).
S. Gorzitze, S. Pado. 2012. Corpus-based Acquisition of German Event- and Object-Denoting Nouns. In Proceedings of KONVENS 2012.
A. Haghighi, A. Y. Ng, and C. D. Manning. 2005. Robust Textual Inference via Graph Matching. HLT-EMNLP 2005.
S. Harabagiu and A. Hickl. 2006. Methods for Using Textual Entailment in Open-Domain Question Answering. COLING-ACL 2006
J. Herrera, A. Peñas, F. Verdejo, 2006. Textual Entailment Recognition Based on Dependency Analysis and WordNet. MLCW 2005. LNAI 3944. 231-239.
V. Jijkoun and M. de Rijke. 2006. Recognizing Textual Entailment: Is Lexical Similarity Enough?, In: I. Dagan, F. Dalche, J. Quinonero Candela, B. Magnini, editors, Evaluating Predictive Uncertainty, Textual Entailment and Object Recognition Systems, LNAI 3944, pages 449-460, Springer Verlag.
L. Kotlerman, I. Dagan, M. Gorodetsky, E. Daya. 2012. Sentence Clustering via Projection over Term Clusters. In Proceedings of *SEM 2012: The First Joint Conference on Lexical and Computational Semantics.
L. Kotlerman, N. Madnani, A. Cahill. 2013. ParaQuery: Making Sense of Paraphrase Collections. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria.
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.
A. Lotan, A. Stern, I. Dagan. 2013. TruthTeller: Annotating Predicate Truth. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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).
Y. Mehdad, B. Magnini. 2009. A Word Overlap Baseline for the Recognizing Textual Entailment Task. Available at http://hlt.fbk.eu/sites/hlt.fbk.eu/files/baseline.pdf
O. Melamud, I. Dagan, J. Goldberger, I. Szpektor. 2013. Using Lexical Expansion to Learn Inference Rules from Sparse Data. 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 pdf
Shachar Mirkin, Ido Dagan, Eyal Shnarch. 2009. Evaluating the Inferential Utility of Lexical-Semantic Resources. EACL-09. pdf
Shachar Mirkin, Lucia Specia, Nicola Cancedda, Ido Dagan, Marc Dymetman and Idan Szpektor. 2009. Source-Language Entailment Modeling for Translating Unknown Terms. ACL-09. pdf
Shachar Mirkin, Ido Dagan and Sebastian Padó. 2010. Assessing the Role of Discourse References in Entailment Inference. ACL-10 pdf
Shachar Mirkin, Jonathan Berant, Ido Dagan and Eyal Shnarch. 2010. Recognising Entailment within Discourse. COLING-10. pdf
Shachar Mirkin, Ido Dagan, Lili Kotlerman and Idan Szpektor. Classification-based Contextual Preferences. TextInfer 2011 [1]
A. H. Moin, G. Neumann. 2012. Assisting Bug Triage in Large Open Source Projects Using Approximate String Matching. In Proceedings of the Seventh International Conference on Software Engineering Advances (ICSEA 2012).
C. Monz and M. de Rijke. 2001. Light-Weight Entailment Checking for Computational Semantics, In: P. Blackburn and M. Kohlhase, editors, International workshop on Inference in Computational Semantics (ICoS-3).
R. Nairn, C. Condoravdi, and L. Karttunen. 2006. Computing relative polarity for textual inference. International workshop on Inference in Computational Semantics (ICoS-5).
Vivi Nastase, Carlo Strapparava. 2013. Bridging Languages through Etymology: The case of cross language text categorization. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria.
M. Negri, A. Marchetti, Y. Mehdad, L. Bentivogli, D. Giampiccolo. 2013. Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization. Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013). pdf
M. Negri, A. Marchetti, Y. Mehdad, L. Bentivogli, D. Giampiccolo. 2012. Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization. *SEM 2012: The First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012). pdf
Tae-Gil Noh, Sebastian Padó. 2013. Using UIMA to Structure An Open Platform for Textual Entailment. In Proceedings of the 3rd Workshop on Unstructured Information Management Architecture (UIMA@GSCL 2013), Darmstadt, Germany, September 23, 2013.
S. Pado, J. Utt. 2012. A Distributional Memory for German. In Proceedings of the KONVENS 2012 Workshop on recent developments and applications of lexical-semantic resources.
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.
M. T. Pazienza, M. Pennacchiotti and F. M. Zanzotto . 2006. Discovering asymmetric entailment relations between verbs using selectional preferences. COLING-ACL 2006
V. Pekar. 2006. Acquisition of Verb Entailment from Text. HLT-NAACL 2006
A. Peñas, A. Rodrigo, F. Verdejo. 2006. SPARTE, a Test Suite for Recognising Textual Entailment in Spanish. Computational Linguistics and Intelligent Text Processing, CICLing 2006. LNCS 3878. 275-286
R. Raina, A. Y. Ng, and C. Manning. 2005. Robust textual inference via learning and abductive reasoning. Twentieth National Conference on Artificial Intelligence (AAAI-05)
M. Regneri, R. Wang. 2012. Using Discourse Information for Paraphrase Extraction. In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning.
L. Romano, M. Kouylekov, I. Szpektor, I. Dagan and A. Lavelli. 2006. Investigating a Generic Paraphrase-based Approach for Relation Extraction. EACL 2006.
V. Rus, A. Graesser and K. Desai. 2005. Lexico-Syntactic Subsumption for Textual Entailment. RANLP 2005.
B. Sacaleanu, G. Neumann. 2012. An Adaptive Framework for Named Entity Combination. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012).
Mark Sammons, Vinod Vydiswaran, and Dan Roth. 2010. Ask not what Textual Entailment can do for you.... ACL-10 pdf
E. Shnarch, I. Dagan, J. Goldberger. 2012. A Probabilistic Lexical Model for Ranking Textual Inferences. In Proceedings of *SEM 2012: The First Joint Conference on Lexical and Computational Semantics.
E. Shnarch, E. Segal Halevi, J. Goldberger, I. Dagan. 2013. PLIS: a Probabilistic Lexical Inference System. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria.
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, 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
M. Tatu and D. Moldovan. 2005. A Semantic Approach to Recognizing Textual Entailment. HLT-EMNLP 2005.
M. Tatu and D. Moldovan. 2006. A Logic-based Semantic Approach to Recognizing Textual Entailment. COLING-ACL 2006 (poster).
A. Volokh, G. Neumann. 2012. Extending Dependency Treebanks with Good Sentences. In Proceedings of KONVENS 2012.
R. Wang, S. Li. 2012. Constructing a Question Corpus for Textual Semantic Relations. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012).
Rui Wang and Günter Neumann. 2007. Recognizing Textual Entailment Using a Subsequence Kernel Method. AAAI-07.
Rui Wang and Yajing Zhang. 2008. Recognizing Textual Entailment with Temporal Expressions in Natural Language Texts. In Proceedings of the IEEE International Workshop on Semantic Computing and Applications (IWSCA-2008).
Rui Wang and Günter Neumann. 2009. An Accuracy-Oriented Divide-and-Conquer Strategy for Recognizing Textual Entailment. TAC 2008 Workshop - RTE-4.
Rui Wang and Yi Zhang. 2009. Recognizing Textual Relatedness with Predicate-Argument Structures. EMNLP 2009.
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. [2]
F. M. Zanzotto and A. Moschitti. 2006. Automatic learning of textual entailments with cross-pair similarities. COLING-ACL 2006
N. Zeichner, J. Berant, I. Dagan. 2012. Crowdsourcing Inference-Rule Evaluation. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012).
Britta Zeller and Sebastian Padó. 2013. A Search Task Dataset for German Textual Entailment. In Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013).
B. Zeller, J. Šnajder, S. Padó. 2013. DErivBase: Inducing and Evaluating a Derivational Morphology Resource for German. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria.
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
I. Androutsopoulos and P. Malakasiotis. 2010. A Survey of Paraphrasing and Textual Entailment Methods. Journal of Artificial Intelligence Research, vol. 38, pp. 135-187. [3]
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. [4]
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.
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. 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.
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. pdf
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. [5]
Books
Ido Dagan, Dan Roth, Mark Sammons and Fabio Massimo Zanzotto. 2013. Recognizing Textual Entailment: Models and Applications. Morgan & Claypool. [6]