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  1. Composition in Distributional Models of Semantics.Jeff Mitchell & Mirella Lapata - 2010 - Cognitive Science 34 (8):1388-1429.
    Vector-based models of word meaning have become increasingly popular in cognitive science. The appeal of these models lies in their ability to represent meaning simply by using distributional information under the assumption that words occurring within similar contexts are semantically similar. Despite their widespread use, vector-based models are typically directed at representing words in isolation, and methods for constructing representations for phrases or sentences have received little attention in the literature. This is in marked contrast to experimental evidence (e.g., in (...)
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  • Static and dynamic vector semantics for lambda calculus models of natural language.Mehrnoosh Sadrzadeh & Reinhard Muskens - 2018 - Journal of Language Modelling 6 (2):319-351.
    Vector models of language are based on the contextual aspects of language, the distributions of words and how they co-occur in text. Truth conditional models focus on the logical aspects of language, compositional properties of words and how they compose to form sentences. In the truth conditional approach, the denotation of a sentence determines its truth conditions, which can be taken to be a truth value, a set of possible worlds, a context change potential, or similar. In the vector models, (...)
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  • English as a Formal Language.Richard Montague - 1970 - In B. Visentini (ed.), Linguaggi Nella Societ\'{a} e Nella Tecnica'. Edizioni di Communita. pp. 188-221.
    I reject the contention that an important theoretical difference exists between formal and natural languages.
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  • Language, Lambdas, and Logic.Reinhard Muskens - 2003 - In R. Oehrle & J. Kruijff (eds.), resource sensitivity, binding, and anaphora. kluwer. pp. 23--54.
    The paper develops Lambda Grammars, a form of categorial grammar that, unlike other categorial formalisms, is non-directional. Linguistic signs are represented as sequences of lambda terms and are combined with the help of linear combinators.
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  • Context Update for Lambdas and Vectors.Reinhard Muskens & Mehrnoosh Sadrzadeh - 2016 - In Maxime Amblard, Philippe de Groote, Sylvain Pogodalla & Christian Rétoré (eds.), Logical Aspects of Computational Linguistics. Celebrating 20 Years of LACL (1996–2016). Berlin, Germany: Springer. pp. 247--254.
    Vector models of language are based on the contextual aspects of words and how they co-occur in text. Truth conditional models focus on the logical aspects of language, the denotations of phrases, and their compositional properties. In the latter approach the denotation of a sentence determines its truth conditions and can be taken to be a truth value, a set of possible worlds, a context change potential, or similar. In this short paper, we develop a vector semantics for language based (...)
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  • Grammar logicised: relativisation.Glyn Morrill - 2017 - Linguistics and Philosophy 40 (2):119-163.
    Many variants of categorial grammar assume an underlying logic which is associative and linear. In relation to left extraction, the former property is challenged by island domains, which involve nonassociativity, and the latter property is challenged by parasitic gaps, which involve nonlinearity. We present a version of type logical grammar including ‘structural inhibition’ for nonassociativity and ‘structural facilitation’ for nonlinearity and we give an account of relativisation including islands and parasitic gaps and their interaction.
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  • Compositionality and Model-Theoretic Interpretation.Hendriks Herman - 2001 - Journal of Logic, Language and Information 10 (1):29-48.
    The present paper studies the general implications of theprinciple of compositionality for the organization of grammar.It will be argued that Janssen''s (1986) requirement that syntax andsemantics be similar algebras is too strong, and that the moreliberal requirement that syntax be interpretable into semanticsleads to a formalization that can be motivated and applied more easily,while it avoids the complications that encumber Janssen''s formalization.Moreover, it will be shown that this alternative formalization evenallows one to further complete the formal theory of compositionality, inthat (...)
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  • Ellipsis and higher-order unification.Mary Dalrymple, Stuart M. Shieber & Fernando C. N. Pereira - 1991 - Linguistics and Philosophy 14 (4):399 - 452.
    We present a new method for characterizing the interpretive possibilities generated by elliptical constructions in natural language. Unlike previous analyses, which postulate ambiguity of interpretation or derivation in the full clause source of the ellipsis, our analysis requires no such hidden ambiguity. Further, the analysis follows relatively directly from an abstract statement of the ellipsis interpretation problem. It predicts correctly a wide range of interactions between ellipsis and other semantic phenomena such as quantifier scope and bound anaphora. Finally, although the (...)
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  • Categorial Type Logics.Michael Moortgat - 1997 - In J. F. A. K. Van Benthem, Johan van Benthem & Alice G. B. Ter Meulen (eds.), Handbook of Logic and Language. Elsevier.
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  • Lambek vs. Lambek: Functorial vector space semantics and string diagrams for Lambek calculus.Bob Coecke, Edward Grefenstette & Mehrnoosh Sadrzadeh - 2013 - Annals of Pure and Applied Logic 164 (11):1079-1100.
    The Distributional Compositional Categorical model is a mathematical framework that provides compositional semantics for meanings of natural language sentences. It consists of a computational procedure for constructing meanings of sentences, given their grammatical structure in terms of compositional type-logic, and given the empirically derived meanings of their words. For the particular case that the meaning of words is modelled within a distributional vector space model, its experimental predictions, derived from real large scale data, have outperformed other empirically validated methods that (...)
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