Textual Entailment
نویسنده
چکیده
منابع مشابه
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. We investigate partial entailment under the faceted entailment model and th...
متن کاملText Grouping using Textual Entailment
Textual Entailment is an important field in Natural Language Processing domain. Given two texts called T (Text) and H (Hypothesis), the textual entailment recognition is the task of deciding whether the meaning of H can be logically inferred from that of T. A Textual Entailment (TE) system has developed and this system has tested on various entailment standard datasets. This TE will apply to di...
متن کاملA Lexical Alignment Model for Probabilistic Textual Entailment
This paper describes the Bar-Ilan system participating in the Recognising Textual Entailment Challenge. The paper proposes first a general probabilistic setting that formalizes the notion of textual entailment. We then describe a concrete alignment-based model for lexical entailment, which utilizes web co-occurrence statistics in a bag of words representation. Finally, we report the results of ...
متن کاملA Linguistic Inspection of Textual Entailment
Recognition of textual entailment is not an easy task. In fact, early experimental evidences in [1] seems to demonstrate that even human judges often fail in reaching an agreement on the existence of entailment relation between two expressions. We aim to contribute to the theoretical and practical setting of textual entailment, through both a linguistic inspection of the textual entailment phen...
متن کاملDiscovering Entailment Relations Using "Textual Entailment Patterns"
In this work we investigate methods to enable the detection of a specific type of textual entailment (strict entailment), starting from the preliminary assumption that these relations are often clearly expressed in texts. Our method is a statistical approach based on what we call textual entailment patterns, prototypical sentences hiding entailment relations among two activities. We experimente...
متن کاملExpanding textual entailment corpora fromWikipedia using co-training
In this paper we propose a novel method to automatically extract large textual entailment datasets homogeneous to existing ones. The key idea is the combination of two intuitions: (1) the use of Wikipedia to extract a large set of textual entailment pairs; (2) the application of semisupervised machine learning methods to make the extracted dataset homogeneous to the existing ones. We report emp...
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