Results 51 to 60 of about 201,491 (318)

STABILITIY OF THE SYNTAGMATIC PROBABILITY DISTRIBUTIONS [PDF]

open access: yesPsihologija, 2009
The aim of the present study is to establish criteria for the optimal sizeof a corpus that can provide stable conditional probabilities of morphologicaland/or syntagmatic types. The optimality of corpus size is defined in terms ofthe smallest sample that
Strahinja Dimitrijevic   +2 more
doaj  

Language (Technology) is Power: A Critical Survey of "Bias" in NLP

open access: yes, 2020
We survey 146 papers analyzing "bias" in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing "bias" is an inherently normative process.
Barocas, Solon   +3 more
core   +1 more source

Metapragmatic Evaluation of Verbal Irony by Speakers of Russian and American English [PDF]

open access: yes, 2012
The paper discusses metapragmatic assessment of verbal irony by speakers of Russian and American English. The research combines ideas from metapragmatics, folk linguistics and corpus linguistics. Empirical data are drawn from the Russian National Corpus (
Shilikhina, Ksenia
core   +1 more source

TVB C++: A Fast and Flexible Back‐End for The Virtual Brain

open access: yesAdvanced Science, EarlyView.
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín   +7 more
wiley   +1 more source

The Category Of Quantitativeness In Modern Linguistics

open access: yesThe American Journal of Social Science and Education Innovations, 2021
The article under discussion depicts the issues of the category of quantitativeness in modern linguistics. The author of the article examines separate parts of speech representing quantitative semantics and describes general categorical properties of quantification as a grouping of lexico-grammatical units of the natural language.
openaire   +2 more sources

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

open access: yesAdvanced Science, EarlyView.
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park   +7 more
wiley   +1 more source

Imparting Interpretability to Word Embeddings while Preserving Semantic Structure

open access: yes, 2020
As an ubiquitous method in natural language processing, word embeddings are extensively employed to map semantic properties of words into a dense vector representation.
Koç, Aykut   +4 more
core   +2 more sources

The self-organization of genomes [PDF]

open access: yes, 2010
Menzerath-Altmann law is a general law of human language stating, for instance, that the longer a word, the shorter its syllables. With the metaphor that genomes are words and chromosomes are syllables, we examine if genomes also obey the law.
Ferrer Cancho, Ramon   +1 more
core   +2 more sources

GP perspectives on hospital discharge letters : an interview and focus group study [PDF]

open access: yes, 2020
Background: Written discharge communication following inpatient or outpatient clinic discharge is essential for communicating information to the GP, but GPs’ opinions on discharge communication are seldom sought.
Dale, Jeremy   +4 more
core   +2 more sources

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

open access: yesAdvanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

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