Results 21 to 30 of about 2,534 (254)
A framework for enriching lexical semantic resources with distributional semantics [PDF]
Natural Language Engineering, 2018 AbstractWe present an approach to combining distributional semantic representations induced from text corpora with manually constructed lexical semantic networks. While both kinds of semantic resources are available with high lexical coverage, our aligned resource combines the domain specificity and availability of contextual information from ...
Chris Biemann +3 more
openaire +4 more sources
Graded hyponymy for compositional distributional semantics
Journal of Language Modelling, 2019 The categorical compositional distributional model of natural language provides a conceptually motivated procedure to compute the meaning of a sentence, given its grammatical structure and the meanings of its words.
Dea Bankova +3 more
doaj +1 more source
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
doaj +1 more source
Pragmatic Constraint on Distributional Semantics
CoRR, 2022 This paper studies the limits of language models' statistical learning in the context of Zipf's law. First, we demonstrate that Zipf-law token distribution emerges irrespective of the chosen tokenization. Second, we show that Zipf distribution is characterized by two distinct groups of tokens that differ both in terms of their frequency and their ...
Elizaveta Zhemchuzhina +2 more
openaire +2 more sources
A Framework for Distributional Formal Semantics [PDF]
, 2019 Formal semantics and distributional semantics offer complementary strengths in capturing the meaning of natural language. As such, a considerable amount of research has sought to unify them, either by augmenting formal semantic systems with a distributional component, or by defining a formal system on top of distributed representations.
Noortje J. Venhuizen +3 more
openaire +1 more source
Modelling brain representations of abstract concepts.
PLoS Computational Biology, 2022 conceptual representations are critical for human cognition. Despite their importance, key properties of these representations remain poorly understood. Here, we used computational models of distributional semantics to predict multivariate fMRI activity ...
Daniel Kaiser +2 more
doaj +1 more source
The Distributivity on Bi-Approximation Semantics [PDF]
Notre Dame Journal of Formal Logic, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Semantic classification with distributional kernels [PDF]
Proceedings of the 22nd International Conference on Computational Linguistics - COLING '08, 2008 Distributional measures of lexical similarity and kernel methods for classification are well-known tools in Natural Language Processing. We bring these two methods together by introducing distributional kernels that compare co-occurrence probability distributions.
Diarmuid Ó Séaghdha, Ann A. Copestake
openaire +2 more sources
Lidil, 2021 We resume the semantic analysis of the passive construction in French, sometimes called passif périphrastique, based on generally marginalized data, namely restricted distributions in relation to the active construction.
Pierre Jalenques
doaj +1 more source
Text: now in 2D! A framework for lexical expansion with contextual similarity
Journal of Language Modelling, 2013 A new metaphor of two-dimensional text for data-driven semantic modeling of natural language is proposed, which provides an entirely new angle on the representation of text: not only syntagmatic relations are annotated in the text, but also paradigmatic ...
Chris Biemann, Martin Riedl
doaj +1 more source