Deriving Dual Dimensions of Bias: Preposed Negation Questions with EVEN

IF 1.6 3区 工程技术 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Biomedical Semantics Pub Date : 2020-10-22 DOI:10.1093/JOS/FFAA010
Sunwoo Jeong
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引用次数: 3

Abstract

Polar interrogatives with preposed negation (e.g., Didn’t Cam help?) convey positive epistemic bias. Polar interrogatives with even-type expressions, including prosodically stressed NPIs and minimizer NPIs (e.g., Did Cam lift a finger to help?), convey negative epistemic bias and often have a rhetorical flavor. This paper examines hybrid PQ constructions with both preposed negations and even-type expressions (e.g., Didn’t Cam lift a finger to help?; henceforth even-PNQs). It first presents a series of experimental studies which reveal that even-PNQs are characterized by complex, dual dimensions of bias contributed compositionally by both the preposed negation on the one hand and the even-type expression on the other. It then explores the theoretical implications of these results. The emerging data are shown to impose certain constraints on and generate additional desiderata for both the analyses of preposed negation questions and the analyses of even-type questions. Building on this discussion, a compositional analysis of even-PNQs is proposed. The analysis supports the presence of inner vs. outer negation ambiguity in PNQs, and identifies even-PNQs as inner-negation PNQs. It also adopts an informativity-based approach to the meaning contribution of even, formulated around the settledness of alternative issues.
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偏差的双重维度的推导:带有偶数的预设否定问题
极性疑问句带预设否定(例如,Didn 't Cam help?)传达积极的认知偏见。带有偶数类型表达的极性疑问句,包括节奏重读的npi和最小化的npi(例如,Cam举起手指来帮忙了吗?),传达了消极的认知偏见,通常带有修辞色彩。本文研究了带有介词否定和偶数型表达的混合PQ结构(例如,没有Cam举起手指来帮忙吗?;从今以后even-PNQs)。本文首先介绍了一系列的实验研究,这些实验研究揭示了偶数型pnq具有复杂的双重维度的偏见,这种偏见一方面是由预设否定,另一方面是由偶数型表达构成的。然后探讨这些结果的理论含义。新出现的数据对预设否定问题的分析和偶数型问题的分析都施加了一定的限制,并产生了额外的所需数据。在此基础上,提出了偶pnq的组成分析。该分析支持pnq中存在内部和外部否定歧义,并将非pnq确定为内部否定pnq。它还采用了一种基于信息性的方法,以even的意义贡献为基础,围绕替代问题的解决而制定。
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来源期刊
Journal of Biomedical Semantics
Journal of Biomedical Semantics MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
4.20
自引率
5.30%
发文量
28
审稿时长
30 weeks
期刊介绍: Journal of Biomedical Semantics addresses issues of semantic enrichment and semantic processing in the biomedical domain. The scope of the journal covers two main areas: Infrastructure for biomedical semantics: focusing on semantic resources and repositories, meta-data management and resource description, knowledge representation and semantic frameworks, the Biomedical Semantic Web, and semantic interoperability. Semantic mining, annotation, and analysis: focusing on approaches and applications of semantic resources; and tools for investigation, reasoning, prediction, and discoveries in biomedicine.
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