Results 81 to 90 of about 6,924 (296)

Tumor‐Derived Alpha‐1 Antitrypsin Promotes Liver Metastasis of Colorectal Cancer Through the Neutrophil Extracellular Traps–CCDC25 Pathway

open access: yesAdvanced Science, EarlyView.
ABSTRACT Liver metastasis is a leading cause of mortality in colorectal cancer (CRC), where the inflammatory tumor microenvironment, specifically neutrophil infiltration, significantly promotes metastatic colonization. This study reveals a pro‐metastatic role for alpha‐1 antitrypsin (A1AT) in CRC liver metastasis via a dual mechanism involving ...
Qian Fei   +11 more
wiley   +1 more source

A Semantics-Aware Head-Driven Approach for Multilingual Dependency Parsing

open access: yesIEEE Access
Dependency parsing is essential for language modeling because it offers a structured understanding of the syntactic relationships between words in a sentence.
Thi Minh Huyen Nguyen, Phuong Le-Hong
doaj   +1 more source

Unsupervised Neural Dependency Parsing [PDF]

open access: yesProceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Unsupervised dependency parsing aims to learn a dependency grammar from text annotated with only POS tags. Various features and inductive biases are often used to incorporate prior knowledge into learning. One useful type of prior information is that there exist correlations between the parameters of grammar rules involving different POS tags. Previous
Yong Jiang 0005, Wenjuan Han, Kewei Tu
openaire   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

DCU-Paris13 systems for the SANCL 2012 shared task [PDF]

open access: yes, 2012
The DCU-Paris13 team submitted three systems to the SANCL 2012 shared task on parsing English web text. The first submission, the highest ranked constituency parsing system, uses a combination of PCFG-LA product grammar parsing and self-training.
Foster, Jennifer   +5 more
core  

Dual Feature Adaptive Fusion Network Based on Dependency Type Pruning for Aspect-basedSentiment Analysis [PDF]

open access: yesJisuanji kexue
Existing models use graph neural network based on dependency trees for aspect-based sentiment analysis,which improves the classification performanceof the model to a certain extent.However,due to technical limitations of dependency parsing,the inaccuracy
ZHENG Cheng, SHI Jingwei, WEI Suhua, CHENG Jiaming
doaj   +1 more source

A High‐Throughput Live Imaging Platform to Investigate Circuit‐Dependent Regulation of Circadian Rhythms in Brain Tissue

open access: yesAdvanced Science, EarlyView.
Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari   +3 more
wiley   +1 more source

Why is German dependency parsing more reliable than constituent parsing?

open access: yes, 2006
In recent years, research in parsing has extended in several new directions. One of these directions is concerned with parsing languages other than English.
Kübler, Sandra   +3 more
core  

Long-distance dependency resolution in automatically acquired wide-coverage PCFG-based LFG approximations

open access: yes, 2004
This paper shows how finite approximations of long distance dependency (LDD) resolution can be obtained automatically for wide-coverage, robust, probabilistic Lexical-Functional Grammar (LFG) resources acquired from treebanks.
O'Donovan, Ruth   +10 more
core   +1 more source

Toward Long‐Term Reliable Human‐Machine Interaction: A Flexible, Breathable, and Self‐Powered Pressure Sensor System With Firefighting Validation

open access: yesAdvanced Science, EarlyView.
This work develops a breathable potentiometric self‐powered pressure sensor with good wearability, using a non‐woven fabric substrate and hydrogel electrolyte. The sensor is integrated into a five‐channel smart glove to acquire reliable hand motion signals, which are processed by a CNN for identity verification and smart vehicle control in human ...
Qilong Zhang   +10 more
wiley   +1 more source

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