Results 11 to 20 of about 6,965,125 (303)
Re-Representing Metaphor: Modeling Metaphor Perception Using Dynamically Contextual Distributional Semantics [PDF]
Frontiers in Psychology, 2019 In this paper, we present a novel context-dependent approach to modeling word meaning, and apply it to the modeling of metaphor. In distributional semantic approaches, words are represented as points in a high dimensional space generated from co ...
Stephen McGregor +6 more
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Formal Distributional Semantics: Introduction to the Special Issue
Computational Linguistics, 2021 Formal Semantics and Distributional Semantics are two very influential semantic frameworks in Computational Linguistics. Formal Semantics is based on a symbolic tradition and centered around the inferential properties of language.
Gemma Boleda, Aurélie Herbelot
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Exploratory topic modeling with distributional semantics [PDF]
, 2015 As we continue to collect and store textual data in a multitude of domains, we are regularly confronted with material whose largely unknown thematic structure we want to uncover.
A Treisman +9 more
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RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics
Computational Linguistics, 2022 This article introduces RELPRON, a large data set of subject and object relative clauses, for the evaluation of methods in compositional distributional semantics.
Laura Rimell +3 more
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Holographic Declarative Memory: Distributional Semantics as the Architecture of Memory
Cognitive Science, 2020 We demonstrate that the key components of cognitive architectures (declarative and procedural memory) and their key capabilities (learning, memory retrieval, probability judgment, and utility estimation) can be implemented as algebraic operations on ...
M. Kelly +3 more
semanticscholar +3 more sources
Composition in Distributional Models of Semantics [PDF]
Cognitive Science, 2010 AbstractVector‐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.
Jeff, Mitchell, Mirella, Lapata
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What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris [PDF]
North American Chapter of the Association for Computational Linguistics, 2022 The power of word embeddings is attributed to the linguistic theory that similar words will appear in similar contexts. This idea is specifically invoked by noting that “you shall know a word by the company it keeps,” a quote from British linguist J.R ...
Mikael Brunila, J. LaViolette
semanticscholar +1 more source
Distributional Measures of Semantic Abstraction [PDF]
Frontiers in Artificial Intelligence, 2022 This article provides an in-depth study of distributional measures for distinguishing between degrees ofsemantic abstraction. Abstraction is considered a “central construct in cognitive science” (Barsalou, 2003) and a “process of information reduction that allows for efficient storage and retrieval of central knowledge” (Burgoon et al., 2013).
Schulte im Walde, Sabine +1 more
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A generating model for Finnish nominal inflection using distributional semantics
The Mental Lexicon, 2023 Finnish nouns are characterized by rich inflectional variation, with obligatory marking of case and number, with optional possessive suffixes and with the possibility of further cliticization.
A. Nikolaev, Yu-Ying Chuang, R. Baayen
semanticscholar +1 more source
Multimodal Distributional Semantics [PDF]
Journal of Artificial Intelligence Research, 2014 Distributional semantic models derive computational representations of word meaning from the patterns of co-occurrence of words in text. Such models have been a success story of computational linguistics, being able to provide reliable estimates of semantic relatedness for the many semantic tasks requiring them.
Bruni, Elia, Tram N., Baroni, Marco
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