Vector-space models of semantic representation from a cognitive perspective: A discussion of common misconceptions
Models that represent meaning as high-dimensional numerical vectors—such as latent
semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the …
semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the …
Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting: A review and empirical validation
Recent developments in distributional semantics (Mikolov, Chen, Corrado, & Dean, 2013;
Mikolov, Sutskever, Chen, Corrado, & Dean, 2013) include a new class of prediction-based …
Mikolov, Sutskever, Chen, Corrado, & Dean, 2013) include a new class of prediction-based …
The event storyline corpus: A new benchmark for causal and temporal relation extraction
This paper reports on the Event StoryLine Corpus (ESC) v1. 0, a new benchmark dataset for
the temporal and causal relation detection. By developing this dataset, we also introduce a …
the temporal and causal relation detection. By developing this dataset, we also introduce a …
[HTML][HTML] LSAfun-An R package for computations based on Latent Semantic Analysis
In this article, the R package LSAfun is presented. This package enables a variety of
functions and computations based on Vector Semantic Models such as Latent Semantic …
functions and computations based on Vector Semantic Models such as Latent Semantic …
Affixation in semantic space: Modeling morpheme meanings with compositional distributional semantics.
The present work proposes a computational model of morpheme combination at the
meaning level. The model moves from the tenets of distributional semantics, and assumes …
meaning level. The model moves from the tenets of distributional semantics, and assumes …
[HTML][HTML] Form to meaning mapping and the impact of explicit morpheme combination in novel word processing
In the present study, we leveraged computational methods to explore the extent to which,
relative to direct access to semantics from orthographic cues, the additional appreciation of …
relative to direct access to semantics from orthographic cues, the additional appreciation of …
Application of latent semantic analysis to divergent thinking is biased by elaboration
B Forthmann, O Oyebade, A Ojo… - The Journal of …, 2019 - Wiley Online Library
Scoring divergent‐thinking response sets has always been challenging because such
responses are not only open‐ended in terms of number of ideas, but each idea may also be …
responses are not only open‐ended in terms of number of ideas, but each idea may also be …
[HTML][HTML] Using distributional semantics to study syntactic productivity in diachrony: A case study
F Perek - Linguistics, 2016 - degruyter.com
This paper investigates syntactic productivity in diachrony with a data-driven approach.
Previous research indicates that syntactic productivity (the property of grammatical …
Previous research indicates that syntactic productivity (the property of grammatical …
Reproducing affective norms with lexical co-occurrence statistics: Predicting valence, arousal, and dominance
G Recchia, MM Louwerse - Quarterly journal of experimental …, 2015 - journals.sagepub.com
Human ratings of valence, arousal, and dominance are frequently used to study the
cognitive mechanisms of emotional attention, word recognition, and numerous other …
cognitive mechanisms of emotional attention, word recognition, and numerous other …
A survey of semantic relatedness evaluation datasets and procedures
Semantic relatedness between words is a core concept in natural language processing.
While countless approaches have been proposed, measuring which one works best is still a …
While countless approaches have been proposed, measuring which one works best is still a …