Zobrazeno 1 - 10
of 2 745
pro vyhledávání: '"A. Goldwater"'
We propose a grounded approach to meaning in language typology. We treat data from perceptual modalities, such as images, as a language-agnostic representation of meaning. Hence, we can quantify the function--form relationship between images and capt
Externí odkaz:
http://arxiv.org/abs/2412.10369
Autor:
Friedman, Scott E., Benkler, Noam, Mosaphir, Drisana, Rye, Jeffrey, Schmer-Galunder, Sonja M., Goldwater, Micah, McLure, Matthew, Wheelock, Ruta, Gottlieb, Jeremy, Goldman, Robert P., Miller, Christopher
Large language models (LLMs) generate diverse, situated, persuasive texts from a plurality of potential perspectives, influenced heavily by their prompts and training data. As part of LLM adoption, we seek to characterize - and ideally, manage - the
Externí odkaz:
http://arxiv.org/abs/2411.05040
Self-supervised speech representations can hugely benefit downstream speech technologies, yet the properties that make them useful are still poorly understood. Two candidate properties related to the geometry of the representation space have been hyp
Externí odkaz:
http://arxiv.org/abs/2406.09200
On annotating multi-dialect Arabic datasets, it is common to randomly assign the samples across a pool of native Arabic speakers. Recent analyses recommended routing dialectal samples to native speakers of their respective dialects to build higher-qu
Externí odkaz:
http://arxiv.org/abs/2405.11282
Speech perception involves storing and integrating sequentially presented items. Recent work in cognitive neuroscience has identified temporal and contextual characteristics in humans' neural encoding of speech that may facilitate this temporal proce
Externí odkaz:
http://arxiv.org/abs/2405.08237
Transcribed speech and user-generated text in Arabic typically contain a mixture of Modern Standard Arabic (MSA), the standardized language taught in schools, and Dialectal Arabic (DA), used in daily communications. To handle this variation, previous
Externí odkaz:
http://arxiv.org/abs/2310.13747
For many people, social media is an important way to consume news on important topics like health. Unfortunately, some influential health news is misinformation because it is based on retracted scientific work. Ours is the first work to explore how p
Externí odkaz:
http://arxiv.org/abs/2309.00912
Acoustic word embeddings are typically created by training a pooling function using pairs of word-like units. For unsupervised systems, these are mined using k-nearest neighbor (KNN) search, which is slow. Recently, mean-pooled representations from a
Externí odkaz:
http://arxiv.org/abs/2306.02153
Self-supervised speech representations are known to encode both speaker and phonetic information, but how they are distributed in the high-dimensional space remains largely unexplored. We hypothesize that they are encoded in orthogonal subspaces, a p
Externí odkaz:
http://arxiv.org/abs/2305.12464
Anecdotes impact medical decisions even when presented with statistical information or decision aids
Publikováno v:
Cognitive Research, Vol 9, Iss 1, Pp 1-23 (2024)
Abstract People are inundated with popular press reports about medical research concerning what is healthy, get advice from doctors, and hear personal anecdotes. How do people integrate conflicting anecdotal and statistical information when making me
Externí odkaz:
https://doaj.org/article/2f08e71db3be4a4ab31a87e3cf831cb4
