Results 41 to 50 of about 374,270 (275)

Artificial Intelligence Is Stereotypically Linked More with Socially Dominant Groups in Natural Language

open access: yesAdvanced Science, EarlyView.
AI is not seen through an unbiased lens. People tend to stereotype AI as competent and link it with socially advantaged groups—such as men, the wealthy, the young, and prestigious occupations—raising concerns that such perceptions may deepen existing social divides rather than bridge them.
Zixi Wang   +4 more
wiley   +1 more source

Not all diatheses are created equal: Evidence from semantic drifts

open access: yesGlossa, 2022
This paper examines the distribution of Modern Hebrew semantic drifts across four diatheses (voices): transitives, unaccusatives (anticausatives), adjectival (stative) passives, and verbal (eventive) passives.
Noa Brandel
doaj   +2 more sources

Web 2.0, language resources and standards to automatically build a multilingual named entity lexicon [PDF]

open access: yes, 2011
This paper proposes to advance in the current state-of-the-art of automatic Language Resource (LR) building by taking into consideration three elements: (i) the knowledge available in existing LRs, (ii) the vast amount of information available from the ...
Ferrández, Sergio   +3 more
core   +1 more source

The Effect of Immersion Technology on the Quality of Life in Older Adults: A Systematic Review

open access: yesAGING MEDICINE, EarlyView.
Immersive technologies, especially virtual reality (VR), significantly improve the quality of life for older adults by enhancing physical health, cognitive function, and psychological well‐being. These technologies can be adapted to meet individual needs, making them an effective tool for addressing the challenges of aging.
Solmaz Sohrabei   +2 more
wiley   +1 more source

The Role of Actual and Purported Origin in e‐Commerce Wine Pricing: Evidence From Italian and French Names on Labels

open access: yesAgribusiness, EarlyView.
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi   +2 more
wiley   +1 more source

Automatic Dream Sentiment Analysis [PDF]

open access: yes, 2006
In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges assigned a score to describe dream sentiments.
De Koninck, Joseph   +4 more
core  

Predicting both thermodynamic and kinetic properties of crystallizing molecules via transformer‐based language model

open access: yesAIChE Journal, EarlyView.
Abstract Crystallization is pivotal in the chemical and pharmaceutical industry, affecting particle stability, and drug release. Crystal size distribution (CSD), a critical attribute of the final dosage form, is determined by the molecular structure of the crystallizing entity.
Silabrata Pahari   +3 more
wiley   +1 more source

The Formation of the Idea of the Library as an Institution in 18th-Century Europe. A Qualitative and Quantitative Approach

open access: yesJLIS.it
The paper illustrates the LIBMOVIT project - - Libraries on the Move: Scholars, Books, Ideas Traveling in Italy in the 18th Century - whose main research focus is the European Eighteenth century socio-cultural framework in which the library as an ...
Carlo Bianchini   +2 more
doaj   +1 more source

Anchoring symbols to sensorimotor control [PDF]

open access: yes, 2002
This paper investigates how robots may emerge a lexicon to communicate complex meanings about actions such as `I am going to the red target' using simple (one-word) utterances. The main issue of the paper concerns the way these complex meanings represent
Vogt, Paul
core   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

open access: yesAdvanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Home - About - Disclaimer - Privacy