Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 Functional Distributional Semantics provides a linguistically interpretable framework for distributional semantics, by representing the meaning of a word as a function (a binary classifier), instead of a vector.
Guy Edward Toh Emerson
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Quantifier Scope in Categorical Compositional Distributional Semantics [PDF]
Electronic Proceedings in Theoretical Computer Science, 2016 In previous work with J. Hedges, we formalised a generalised quantifiers theory of natural language in categorical compositional distributional semantics with the help of bialgebras.
Mehrnoosh Sadrzadeh
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Compositional Distributional Semantics with Syntactic Dependencies and Selectional Preferences
Applied Sciences, 2021 This article describes a compositional model based on syntactic dependencies which has been designed to build contextualized word vectors, by following linguistic principles related to the concept of selectional preferences.
Pablo Gamallo
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Functional Distributional Semantics [PDF]
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016 Published at Representation Learning for NLP workshop at ACL 2016, https://sites.google.com/site/repl4nlp2016/
Emerson, G, Copestake, A
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A Special Issue on Statistical and Logical Models of Meaning
Journal of Language Modelling, 2019 In this special issue we collect five papers derived from the workshop on Statistical and Logical Models of Meaning (SaLMoM) celebrated 11th–15th July 2016 as part of the North American Summer School in Logic, Language and Information at Rutgers ...
Mehrnoosh Sadrzadeh, Glyn Morrill
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Using distributional semantics to study syntactic productivity in diachrony: A case study
Linguistics, 2016 Florent Perek
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Idiosyncratic frequency as a measure of derivation vs. inflection
Journal of Language Modelling, 2023 There is ongoing discussion about how to conceptualize the nature of the distinction between inflection and derivation. A common approach relies on qualitative differences in the semantic relationship between inflectionally versus derivationally related
Maria Copot +2 more
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Event Knowledge in Compositional Distributional Semantics
IJCoL, 2019 The great majority of compositional models in distributional semantics present methods to compose vectors or tensors in a representation of the sentence.
Ludovica Pannitto, Alessandro Lenci
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Author's response: Mundari and argumentation in word-class analysis [PDF]
, 2015 1. Introduction: Our three commentators raise such a host of deep and interesting issues that we cannot hope to answer them all within the time and space at our disposal.
Evans, Nicholas, Osada, Toshiki
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What do you mean, BERT? Assessing BERT as a Distributional Semantics Model [PDF]
arXiv.org, 2019 Contextualized word embeddings, i.e. vector representations for words in context, are naturally seen as an extension of previous noncontextual distributional semantic models.
Timothee Mickus +3 more
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