Results 211 to 220 of about 2,031,469 (352)

Augmenting Semantic Lexicons Using Word Embeddings and Transfer Learning. [PDF]

Front Artif Intell, 2021
Alshaabi T, Van Oort CM, Fudolig MI, Arnold MV, Danforth CM, Dodds PS.   +5 more
europepmc   +1 more source

Ultralow‐Dimensionality Reduction for Identifying Critical Transitions by Spatial‐Temporal PCA

Advanced Science, EarlyView.
The proposed spatial‐temporal principal component analysis (stPCA) method analytically reduces high‐dimensional time‐series data to a single latent variable by transforming spatial information into temporal dynamics. By preserving the temporal properties of the original data, stPCA effectively identifies critical transitions and tipping points.
Pei Chen, Yaofang Suo, Kazuyuki Aihara, Ye Li, Dan Wu, Rui Liu, Luonan Chen   +6 more
wiley   +1 more source

Embedded words in visual word recognition: Does the left hemisphere see the rain in brain?

, 2010
Samantha F. McCormick, Colin J. Davis, Marc Brysbaert   +2 more
openalex   +2 more sources

HIC1 suppresses Tumor Progression and Enhances CD8+ T Cells Infiltration Through Promoting GSDMD‐induced Pyroptosis in Gastric Cancer

Advanced Science, EarlyView.
These findings elucidate the innovative role of HIC1 as a transcriptional activator in GC, driving the initiation of pyroptosis and enhancing CD8+ T cell infiltration, which has certain novelty and creative significance. Collectively, targeting HIC1 can present an appealing immunotherapeutic strategy to improve outcomes in GC patients.
Mengjie Kang, Wenqi Du, Lina Ding, Mengdi Wu, Dongsheng Pei   +4 more
wiley   +1 more source

Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns

Nature Communications
Contextual embeddings, derived from deep language models (DLMs), provide a continuous vectorial representation of language. This embedding space differs fundamentally from the symbolic representations posited by traditional psycholinguistics.
Ariel Goldstein, Avigail Grinstein-Dabush, Mariano Schain, Haocheng Wang, Zhuoqiao Hong, Bobbi Aubrey, Samuel A. Nastase, Zaid Zada, Eric Ham, Amir Feder, Harshvardhan Gazula, Eliav Buchnik, Werner Doyle, Sasha Devore, Patricia Dugan, Roi Reichart, Daniel Friedman, Michael Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Uri Hasson   +21 more
doaj   +1 more source

Word Representations via Gaussian Embedding

, 2014
Luke Vilnis, Andrew McCallum
openalex   +2 more sources

Neural context embeddings for automatic discovery of word senses [PDF]

, 2015
Mikael Kågebäck, Fredrik Johansson, Richard Johansson, Devdatt Dubhashi   +3 more
openalex   +1 more source

CPL‐Diff: A Diffusion Model for De Novo Design of Functional Peptide Sequences with Fixed Length

Advanced Science, EarlyView.
This study presents a diffusion model for generating functional peptide sequence lengths using mask control. The model can generate antimicrobial, antifungal, and antiviral peptides with specific lengths on demand. The model learns the structure of peptides better and generates peptides with better physicochemical properties, and the model has good ...
Zhenjie Luo, Aoyun Geng, Leyi Wei, Quan Zou, Feifei Cui, Zilong Zhang   +5 more
wiley   +1 more source

Combining word embeddings to extract chemical and drug entities in biomedical literature. [PDF]

BMC Bioinformatics, 2021
López-Úbeda P, Díaz-Galiano MC, Ureña-López LA, Martín-Valdivia MT.   +3 more
europepmc   +1 more source

SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity

, 2014
Carmen Banea, Di Chen, Rada Mihalcea, Claire Cardie, Janyce Wiebe   +4 more
openalex   +1 more source