Results 11 to 20 of about 631,702 (254)
Techniques for Recognizing Textual Entailment and Semantic Equivalence [PDF]
After defining what is understood by textual entailment and semantic equivalence, the present state and the desirable future of the systems aimed at recognizing them is shown. A compilation of the currently implemented techniques in the main Recognizing Textual Entailment and Semantic Equivalence systems is given.
Jesús Herrera +2 more
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Inference rules and their application to recognizing textual entailment [PDF]
In this paper, we explore ways of improving an inference rule collection and its application to the task of recognizing textual entailment. For this purpose, we start with an automatically acquired collection and we propose methods to refine it and obtain more rules using a hand-crafted lexical resource.
Georgiana Dinu, Rui Wang 0005
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Recognizing Partial Textual Entailment
Textual entailment is an asymmetric relation between two text fragments that describes whether one fragment can be inferred from the other. It thus cannot capture the notion that the target fragment is “almost entailed” by the given text. The recently suggested idea of partial textual entailment may remedy this problem.
Levy, Omer +3 more
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A discourse commitment-based framework for recognizing textual entailment [PDF]
In this paper, we introduce a new framework for recognizing textual entailment which depends on extraction of the set of publicly-held beliefs -- known as discourse commitments -- that can be ascribed to the author of a text or a hypothesis. Once a set of commitments have been extracted from a t-h pair, the task of recognizing textual entailment is ...
Andrew Hickl, Jeremy Bensley
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Recognizing Textual Entailment by Soft Dependency Tree Matching
We present a rule-based method for recognizing entailment relation between a pair of text fragments by comparing their dependency tree structures. We used a dependency parser to generate the dependency triples of the text-hypothesis pairs. A dependency triple is an arc in the dependency parse tree.
Rohini Basak +3 more
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A Cross-Lingual Hybrid Neural Network With Interaction Enhancement for Grading Short-Answer Texts
Automatic Short-Answer Grading (ASAG) is an application for recognizing textual entailment in smart education. With the continuous expansion of the application scope of artificial neural networks, many deep learning models have been applied to grading ...
Yishan Chen +4 more
doaj +1 more source
Inference rules for recognizing textual entailment [PDF]
In this paper, we explore the application of inference rules for recognizing textual entailment (RTE). We start with an automatically acquired collection and then propose methods to refine it and obtain more rules using a hand-crafted lexical resource.
Georgiana Dinu, Rui Wang 0005
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Visual Denotations for Recognizing Textual Entailment [PDF]
In the logic approach to Recognizing Textual Entailment, identifying phrase-to-phrase semantic relations is still an unsolved problem. Resources such as the Paraphrase Database offer limited coverage despite their large size whereas unsupervised distributional models of meaning often fail to recognize phrasal entailments.
Dan Han +2 more
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SVO triple based latent semantic analysis for recognising textual entailment [PDF]
Latent Semantic Analysis has only recently been applied to textual entailment recognition. However, these efforts have suffered from inadequate bag of words vector representations. Our prototype implementation for the Third Recognising Textual Entailment
Anne De Roeck +6 more
core +1 more source
A survey on Recognizing Textual Entailment as an NLP Evaluation [PDF]
1st Workshop on Evaluation and Comparison for NLP systems (Eval4NLP) at EMNLP 2020; 18 ...
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