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Found 9 papers, 4 papers with code
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings
In this work we study the effect of frequency when measuring female vs. male gender bias with word embedding-based bias quantification methods.
Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics
In the present work, we systematically study the association between frequency and semantic similarity in several static word embeddings.
Simple and Cheap Setup for Timing Tapping Responses Synchronized to Auditory Stimuli
It is intended for presenting any auditory stimuli and recording tapping response times with within 2 milliseconds precision (up to -2ms lag).
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach
In recent years, word embeddings have been widely used to measure biases in texts.
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images
When such distribution changes but we still aim at performing the same task, we incur in a domain adaptation problem (e. g. using a different MR machine or different acquisition parameters for training and test data).
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets
However, to date, little work has been done regarding simultaneous learning of brain lesion and anatomy segmentation from disjoint datasets.
Corpus specificity in LSA and Word2vec: the role of out-of-domain documents
In the present article we investigate whether LSA and Word2vec capacity to identify relevant semantic dimensions increases with size of corpus.
The ontogeny of discourse structure mimics the development of literature
In literature, monotonic asymptotic changes over time were remarkable: While lexical diversity, long-range recurrence and graph size increased away from near-randomness, short-range recurrence declined, from above to below random levels.
Emotional Intensity analysis in Bipolar subjects
The massive availability of digital repositories of human thought opens radical novel way of studying the human mind.
