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        <title>Recognize the Generality Relation between Sentences Using Asymmetric Association Measures</title>
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    <abstract>In this paper we focus on a particular case of entailment, namely entailment by generality. We argue that there exist various types of implication, a range of different levels of entailment reasoning, based on lexical, syntactic, logical and common sense clues, at different levels of difficulty. We introduce the paradigm of Textual Entailment (TE) by Generality, which can be defined as the entailment from a specific statement towards a relatively more general statement. In this context, the Text T entails the Hypothesis H, and at the same time H is more general than T . We propose an unsupervised and language-independent method to recognize TE by Generality given a case of Text − Hypothesis or T − H where entailment relation holds.</abstract>
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%0 Conference Proceedings
%T Recognize the Generality Relation between Sentences Using Asymmetric Association Measures
%A Pais, Sebastiao
%A Dias, Gael
%A Moraliyski, Rumen
%S Proceedings of the First International Conference on Computational Linguistics in Bulgaria (CLIB 2014)
%D 2014
%8 September
%I Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences
%C Sofia, Bulgaria
%F pais-etal-2014-recognize
%X In this paper we focus on a particular case of entailment, namely entailment by generality. We argue that there exist various types of implication, a range of different levels of entailment reasoning, based on lexical, syntactic, logical and common sense clues, at different levels of difficulty. We introduce the paradigm of Textual Entailment (TE) by Generality, which can be defined as the entailment from a specific statement towards a relatively more general statement. In this context, the Text T entails the Hypothesis H, and at the same time H is more general than T . We propose an unsupervised and language-independent method to recognize TE by Generality given a case of Text − Hypothesis or T − H where entailment relation holds.
%U https://aclanthology.org/2014.clib-1.10
%P 73-81

Markdown (Informal)

[Recognize the Generality Relation between Sentences Using Asymmetric Association Measures](https://aclanthology.org/2014.clib-1.10) (Pais et al., CLIB 2014)

• Recognize the Generality Relation between Sentences Using Asymmetric Association Measures (Pais et al., CLIB 2014)

ACL

• Sebastiao Pais, Gael Dias, and Rumen Moraliyski. 2014. Recognize the Generality Relation between Sentences Using Asymmetric Association Measures. In Proceedings of the First International Conference on Computational Linguistics in Bulgaria (CLIB 2014), pages 73–81, Sofia, Bulgaria. Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences.