Results 81 to 90 of about 17,696,681 (275)

TECHNOLOGIES OF CREATING SPELL CHECKER 

open access: yesÌнформаційні технології в освіті, 2019
Spell checkers are created to control and correct mistakes in a user document. They are based on the comparison of every word against the spelling dictionary and on the use of correct spelling detection algorithms.
O. Riezina, R. Kosiuh , V. Vynnychenko
doaj   +1 more source

Prospecting the protein design landscape

open access: yesFEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona   +4 more
wiley   +1 more source

Automated Classification of Crime Narratives Using Machine Learning and Language Models in Official Statistics

open access: yesStats
This paper presents the implementation of a language model–based strategy for the automatic codification of crime narratives for the production of official statistics.
Klaus Lehmann   +6 more
doaj   +1 more source

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

open access: yesMolecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura   +19 more
wiley   +1 more source

Similar words analysis based on POS-CBOW language model

open access: yesJournal of Hebei University of Science and Technology, 2015
Similar words analysis is one of the important aspects in the field of natural language processing, and it has important research and application values in text classification, machine translation and information recommendation.
Dongru RUAN, Hongyan PAN, Kai GAO
doaj   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola   +11 more
wiley   +1 more source

Red Teaming Language Model Detectors with Language Models

open access: yesTransactions of the Association for Computational Linguistics
Abstract The prevalence and strong capability of large language models (LLMs) present significant safety and ethical risks if exploited by malicious users. To prevent the potentially deceptive usage of LLMs, recent work has proposed algorithms to detect LLM-generated text and protect LLMs. In this paper, we investigate the robustness and
Zhouxing Shi   +5 more
openaire   +5 more sources

UN REPTE DE LA (SOCIO)LINGÜÍSTICA APLICADA: EL MODEL DE LLENGUA COL·LOQUIAL PER A LA COMUNICACIÓ AUDIOVISUAL

open access: yesRevista de Lingüística y Lenguas Aplicadas, 2007
La diversitat de situacions en què s’utilitza la llengua en la comunicació audiovisual fa insuficient la divisió entre re g i s t re formal i informal a què solen limitar-se els materials d&rsquo ...
Josep Angel Mas i Castells
doaj  

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

open access: yesMolecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller   +10 more
wiley   +1 more source

Language Model Memory and Memory Models for Language

open access: yesCoRR
The ability of machine learning models to store input information in hidden layer vector embeddings, analogous to the concept of `memory', is widely employed but not well characterized. We find that language model embeddings typically contain relatively little input information regardless of data and compute scale during training.
openaire   +3 more sources

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