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Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics.
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About Neural Networks and Writing Definitions
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In: ISSN: 2160-5076 ; Dictionaries: Journal of the Dictionary Society of North America Dictionary Society of North America ; https://hal.archives-ouvertes.fr/hal-03547452 ; Dictionaries: Journal of the Dictionary Society of North America Dictionary Society of North America, 2021, 42 (2), ⟨10.1353/dic.2021.0022⟩ (2021)
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NUIG at TIAD 2021: Cross-lingual word embeddings for translation inference
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An AI-based approach for decision-making in Hybrid E-rehabilitation ...
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An AI-based approach for decision-making in Hybrid E-rehabilitation ...
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A Vector Space Model for Koine Greek Lexicography: An Exploration in Linguistic Categorisation
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Metodología para la traducción de términos compuestos mediante corpus
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In: Mutatis Mutandis: Revista Latinoamericana de Traducción, ISSN 2011-799X, Vol. 14, Nº. 2, 2021 (Ejemplar dedicado a: Nuevas perspectivas de investigación en la traducción especializada en lenguas románicas: aspectos comparativos, léxicos, fraseológicos, discursivos y didácticos), pags. 451-468 (2021)
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Semantic discrimination of technicality in French nominalizations
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In: ISSN: 2367-3877 ; Zeitschrift für Wortbildung / Journal of Word Formation ; https://hal.archives-ouvertes.fr/hal-03090796 ; Zeitschrift für Wortbildung / Journal of Word Formation, 2020, 4, pp.100 - 119. ⟨10.3726/zwjw.2020.02.06⟩ (2020)
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Extrinsic Evaluation of French Dependency Parsers on a Specialized Corpus: Comparison of Distributional Thesauri
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In: 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02611042 ; 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.5822-5830 (2020)
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Content vs. function words: the view from distributional semantics [Online resource]
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In: Proceedings of Sinn und Bedeutung 22, Vol. 1 / eds. Uli Sauerland and Stephanie Solt. Leibniz-Zentrum Allgemeine Sprachwissenschaft: ZAS papers in linguistics ; Nr. 60 (2020), 1-21
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Linguistik-Repository
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A Corpus Approach to Roman Law Based on Justinian’s Digest ...
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Machine learning methods for vector-based compositional semantics ...
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Abstract:
Rich semantic representations of linguistic data are an essential component to the development of machine learning algorithms for natural language processing. This thesis explores techniques to model the meaning of phrases and sentences as dense vectors, which can then be further analysed and manipulated to perform any number of tasks involving the understanding of human language. Rather than seeing this task purely as an engineering problem, this thesis will focus on linguistically-motivated approaches, based on the principle of compositionality. The first half of the thesis will be dedicated to categorial compositional models, which are based on the observation that certain types of grammars share the structure of the algebra of vector spaces. This leads to an approach where the meanings of words are modelled as multilinear maps, encoded as tensors. In this framework, the meaning of a composite linguistic phrase can be computed via the tensor multiplication of its constituents, according to the phrase's ... : EPSRC ...
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Keyword:
compositional semantics; compositionality; computational linguistics; distributional semantics; natural language processing; nlp
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URL: https://www.repository.cam.ac.uk/handle/1810/294356 https://dx.doi.org/10.17863/cam.41454
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Semantic stability in social tagging streams
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In: Proceedings of the 23rd International Conference on World Wide Web 2014 ; 735-746 ; International Conference on World Wide Web (WWW'14) ; 23 (2020)
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Quantitative studies on the Indonesian prefixes PE- and PEN-
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Parameters, Interactions, and Model Selection in Distributional Semantics
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Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods
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In: Proceedings of the Society for Computation in Linguistics (2020)
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What do you mean, BERT? Assessing BERT as a Distributional Semantics Model
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Method for Author Attribution Using Word Embeddings ... : Метод атрибуции автора с использованием Word Embeddings ...
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Mapping Distributional Semantics to Property Norms with Deep Neural Networks
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In: Big Data and Cognitive Computing ; Volume 3 ; Issue 2 (2019)
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