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  1. The Division of Labor in Explanations of Verb Phrase Ellipsis.Christina S. Kim & Jeffrey T. Runner - 2018 - Linguistics and Philosophy 41 (1):41-85.
    In this paper, we will argue that, of the various grammatical and discourse constraints that affect acceptability in Verb Phrase Ellipsis (VPE), only the structural parallelism constraint is unique to VPE. We outline (previously noted) systematic problems that arise for classical structural accounts of VPE resolution, and discuss efforts in recent research on VPE to reduce explanations of acceptability in VPE to general well-formedness constraints at the level of information structure [e.g. Kehler, 2000, 2002, Kertz, 2013, Kehler, 2015]. In two (...)
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  • Deaccenting and higher-order unification.Claire Gardent - 2000 - Journal of Logic, Language and Information 9 (3):313-338.
    The HOU-based analysis of ellipsis was shown byDalrymple et al. (1991) and Shieber et al. (1996) to correctly capture thecomplex interaction of VP-ellipsis, scope and anaphora and claimed toextend to further related phenomena. When applied to deaccenting, theanalysis makes a strong prediction, namely that all anaphors occurringin the deaccented part of a deaccented utterance are parallelanaphors, i.e., anaphors that resolve to their parallel counterpart inthe source. I argue that this prediction is supported by the data andshow that it correctly captures (...)
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  • The constraint language for lambda structures.Markus Egg, Alexander Koller & Joachim Niehren - 2001 - Journal of Logic, Language and Information 10 (4):457-485.
    This paper presents the Constraint Language for Lambda Structures(CLLS), a first-order language for semantic underspecification thatconservatively extends dominance constraints. It is interpreted overlambda structures, tree-like structures that encode -terms. Based onCLLS, we present an underspecified, uniform analysis of scope,ellipsis, anaphora, and their interactions. CLLS solves a variablecapturing problem that is omnipresent in scope underspecification andcan be processed efficiently.
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