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Textual entailment

Textual entailment (TE) in natural language processing is a directional relation between text fragments. The relation holds whenever the truth of one… 
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Papers overview

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Highly Cited
2018
Highly Cited
2018
We present a new dataset and model for textual entailment, derived from treating multiple-choice question-answering as an… 
Highly Cited
2016
Highly Cited
2016
While most approaches to automatically recognizing entailment relations have used classifiers employing hand engineered features… 
Highly Cited
2013
Highly Cited
2013
* List of Figures* List of Tables* Preface* Acknowledgments* Textual Entailment* Architectures and Approaches* Alignment… 
Highly Cited
2011
Highly Cited
2011
This paper presents the Seventh Recognizing Textual Entailment (RTE-7) challenge. This year’s challenge replicated the exercise… 
Review
2010
Review
2010
Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural language expressions that convey… 
Highly Cited
2009
Highly Cited
2009
This paper presents the Sixth Recognizing Textual Entailment (RTE-6) challenge. This year a major innovation was introduced, as… 
Highly Cited
2009
Highly Cited
2009
Abstract The goal of identifying textual entailment – whether one piece of text can be plausibly inferred from another – has… 
Highly Cited
2007
Review
2006
Review
2006
This paper describes the Second PASCAL Recognising Textual Entailment Challenge (RTE-2). 1 We describe the RTE2 dataset and… 
Review
2005
Review
2005
This paper presents the Third PASCAL Recognising Textual Entailment Challenge (RTE-3), providing an overview of the dataset…