Results 61 to 70 of about 156,025 (281)
Combination Strategies for Semantic Role Labeling
, 2011 This paper introduces and analyzes a battery of inference models for the problem of semantic role labeling: one based on constraint satisfaction, and several strategies that model the inference as a meta-learning problem using discriminative classifiers.
Carreras, X. +3 more
core +1 more source
ALKBH3 m1A Demethylase Deficiency Reduces Alzheimer's Amyloid‐β Pathology
Advanced Science, EarlyView.This study identifies that ALKBH3‐driven m1A demethylation orchestrates Alzheimer's disease progression by disrupting mitochondrial and synaptic homeostasis. This epitranscriptomic mechanism suppresses PINK1‐mediated mitophagy via m1A erasure, leading to mitochondrial dysfunction, oxidative stress, elevated Aβ production, and impaired microglial ...
Yueyang Li +25 more
wiley +1 more source
AgriFood: Journal of Agricultural Products for Food, EarlyView.The study of Physical characteristics of agricultural materials is necessary for the design of processes and machines for food production. Length, width, thickness, sphericity, unit mass, and aspect ratio were the physical characteristics of ultrasound pretreated Dialium guineense whole fruits subjected to Neural network modeling.
Mfrekemfon Akpan +2 more
wiley +1 more source
Tuning syntactically enhanced word alignment for statistical machine translation [PDF]
, 2009 We introduce a syntactically enhanced word alignment model that is more flexible than state-of-the-art generative word alignment models and can be tuned according to different end tasks.
Lambert, Patrik, Ma, Yanjun, Way, Andy
core +3 more sources
Syntax-Directed Attention for Neural Machine Translation
, 2018 Attention mechanism, including global attention and local attention, plays a key role in neural machine translation (NMT). Global attention attends to all source words for word prediction.
Chen, Kehai +4 more
core +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
Advanced Intelligent Discovery, EarlyView.We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
The nature of written language deficits in children with SLI [PDF]
, 2004 Children with Speech and Language Impairment (SLI) have associated difficulties in reading decoding and reading comprehension. To date few research studies have examined the children's written language.
Dockrell, Julie, Mackie, Clare
core +1 more source
Learning unification-based grammars using the Spoken English Corpus
, 1994 This paper describes a grammar learning system that combines model-based and data-driven learning within a single framework. Our results from learning grammars using the Spoken English Corpus (SEC) suggest that combined model-based and data-driven ...
Bridge, Derek, Osborne, Miles
core +3 more sources
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Evaluating syntax-driven approaches to phrase extraction for MT [PDF]
, 2009 In this paper, we examine a number of different phrase segmentation approaches for Machine Translation and how they perform when used to supplement the translation model of a phrase-based SMT system. This work represents a summary of a number of years of
Groves, Declan +3 more
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