Results 51 to 60 of about 182,846 (314)

Evaluating prose style transfer with the Bible [PDF]

open access: yes, 2018
In the prose style transfer task a system, provided with text input and a target prose style, produces output which preserves the meaning of the input text but alters the style.
Carlson, Keith   +2 more
core   +3 more sources

Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact

open access: yesAdvanced Science, EarlyView.
A quantum kernel‐aligned regressor (QKAR) is developed for modeling Ohmic contact formation in GaN HEMT fabrication. Leveraging experimental data and a Pauli‐Z feature map enhanced with a quantum kernel alignment (QKA) layer, the model achieves superior predictive performance over classical methods.
Zeheng Wang   +7 more
wiley   +1 more source

Supporting Constructive Learning with a Feedback Planner [PDF]

open access: yes, 2000
A promising approach to constructing more effective computer tutors is implementing tutorial strategies that extend over multiple turns. This means that computer tutors must deal with (1) failure, (2) interruptions, (3) the need to revise their tactics ...
Core, Mark G.   +2 more
core   +2 more sources

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

Morphemic Structure of Lithuanian Words

open access: yesOpen Linguistics, 2016
The Lithuanian language is a typical flectional language that has a very sophisticated system of grammatical forms and many means of derivation; it is also characterized by uncertain boundaries between morphemes.
Rimkutė Erika   +2 more
doaj   +1 more source

Lactate Dehydrogenase C4 Accelerates Triple‐Negative Breast Cancer Progression by Promoting Acetyl‐CoA Acyltransferase 2 Lactylation to Increase Free Fatty Acid Accumulation

open access: yesAdvanced Science, EarlyView.
Diagram of the reprogramming of FA metabolism mediated by LDHC4‐induced ACAA2 activity to promote TNBC progression. LDHC4 drives TNBC progression by enhancing ACAA2‐mediated fatty acid production. The resulting accumulation of FFAs stimulates autophagy and accelerates cell cycle progression, thereby promoting tumor growth.
Zhaolei Cui   +10 more
wiley   +1 more source

Computational linguistics and discourse complexology: Paradigms and research methods

open access: yesRussian Journal of Linguistics, 2022
The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic analysis have become a reality due to the ability of artificial neural networks not only to learn and adapt, but also carry out automate linguistic analysis, select,
Valery Dmitrievich Solovyev   +2 more
doaj   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

open access: yesAdvanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

The Linguistics of Sentiment Analysis [PDF]

open access: yes, 2013
Computational linguistics is a field that was founded by linguists, but more recently is the domain of more computer scientists than linguists. Use of data driven and machine learning methods for computational linguistics applications is now more common ...
Hart, Laurel
core   +2 more sources

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

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