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01/02/2023
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings
Numerous works use word embedding-based metrics to quantify societal bia...
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11/15/2022
The Dependence on Frequency of Word Embedding Similarity Measures
Recent research has shown that static word embeddings can encode word fr...
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04/30/2021
Simple and Cheap Setup for Timing Tapping Responses Synchronized to Auditory Stimuli
Measuring human capabilities to synchronize in time, adapt to perturbati...
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04/13/2021
On the interpretation and significance of bias metrics in texts: a PMI-based approach
In recent years, the use of word embeddings has become popular to measur...
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09/10/2020
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images
Automatic segmentation of white matter hyperintensities in magnetic reso...
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03/08/2019
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets
Brain lesion and anatomy segmentation in magnetic resonance images are f...
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12/28/2017
Corpus specificity in LSA and Word2vec: the role of out-of-domain documents
Latent Semantic Analysis (LSA) and Word2vec are some of the most widely ...
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12/27/2016
The ontogeny of discourse structure mimics the development of literature
Discourse varies with age, education, psychiatric state and historical e...
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10/05/2016
Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database
Word embeddings have been extensively studied in large text datasets. Ho...
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06/07/2016