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On the Identification of Quantifiers' Witness Sets: A Study of Multi-quantifier Sentences

机译:量词见证集的识别:多量词句研究

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摘要

Natural language sentences that talk about two or more sets of entities can be assigned various readings. The ones in which the sets are independent of one another are particularly challenging from the formal point of view. In this paper we will call them 'Independent Set (IS) readings'. Cumulative and collective readings are paradigmatic examples of IS readings. Most approaches aiming at representing the meaning of IS readings implement some kind of maximality conditions on the witness sets involved. Two kinds of maximization have been proposed in the literature: 'Local' and 'Global' maximization. In this paper, we present an online questionnaire whose results appear to support Local maximization. The latter seems to capture the proper interplay between the semantics and the pragmatics of multi-quantifier sentences, provided that witness sets are selected on pragmatic grounds.
机译:谈论两组或更多组实体的自然语言句子可以被分配各种读物。从形式上看,这些集合彼此独立的集合尤其具有挑战性。在本文中,我们将其称为“独立集(IS)读数”。累积和集体阅读是IS阅读的范例。大多数旨在表示IS读数含义的方法都在所涉及的证人集上实现了某种最大化条件。文献中提出了两种最大化:“局部”最大化和“全局”最大化。在本文中,我们提供了一个在线调查表,其结果似乎支持局部最大化。后者似乎捕获了多量词句子的语义和语用之间的适当相互作用,但前提是要基于语用基础选择证人集。

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  • 来源
    《Journal of logic, language and information》 |2014年第1期|53-81|共29页
  • 作者单位

    Department of Computer Science, University of Turin, Turin, Italy;

    Institute for Logic, Language and Computation, University of Amsterdam, Amsterdam, The Netherland;

    Institute of Artificial Intelligence, University of Groningen, Groningen, The Netherland;

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  • 入库时间 2022-08-17 13:16:21

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