Results 111 to 120 of about 4,782 (266)
Meta-Layer Problem Solving for Computational Construction Grammar.
, 2017 Bearing the word “fluid” in its name, Fluid Construction Grammar (FCG) is known for its open-ended nature when it comes to formalising linguistic knowledge in the form of constructions. Yet, it is also flexible with respect to the processing of input that cannot be handled in the standard way. This paper presents a meta-layer architecture that is fully
Van Eecke, Paul, Beuls, Katrien
openaire +3 more sources
Computation of infix probabilities for probabilistic context-free grammars [PDF]
, 2011 The notion of infix probability has been introduced in the literature as a generalization of the notion of prefix (or initial substring) probability, motivated by applications in speech recognition and word error correction.
Satta, Giorgio +4 more
core
Microbiome‐mediated plant‐soil feedbacks as a tool for resilient agriculture
iMetaOmics, EarlyView.Translating plant‐soil feedbacks (PSFs) into reliable agricultural management requires shifting from input‐dependent practices toward endogenous, process‐driven crop resilience. To bridge this gap, we propose a predictive framework centered on three strategic interventions: engineering the crop holobiont, diversifying the soil habitat, and deploying ...
Muhammad Asif +4 more
wiley +1 more source
Journal of Adolescence, EarlyView.ABSTRACT Introduction Socioeconomic disparities in academic achievement are well‐documented in France and emerge early in schooling. Yet, a subset of students from socioeconomically disadvantaged backgrounds attains high academic performance, challenging deterministic accounts of educational inequality.
Margot Rémeau +2 more
wiley +1 more source
Journal of Applied Econometrics, EarlyView.ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley +1 more source
Strategic Change, EarlyView.ABSTRACT This study extends absorptive capacity research by showing how corporate venture capital (CVC) investments enable corporate artificial intelligence (AI) adoption through collaboration pathways, delineated in four adoption archetypes that explain how heterogeneous AI knowledge is absorbed.
Louisa A. Müller +2 more
wiley +1 more source
Constructions and Compositionality. Cognitive and Computational Explorations [PDF]
How do we understand any sentence, from the most ordinary to the most creative? The traditional assumption is that we rely on formal rules combining words (compositionality).
Rambelli, Giulia
core +1 more source
Medicinal Research Reviews, EarlyView.ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley +1 more source
Abstract This paper investigates how autoregressive large language models (LLMs) process and understand Comparative Correlative constructions (CCs). Through a series of systematic experiments examining both syntactic and semantic behaviors of LLMs, we evaluate the performance of leading LLMs including ChatGPT-4o, ChatGPT-3.5, Claude-3.5 Sonnet,
Jun Li, Yuanjia Liu
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Materials Genome Engineering Advances, EarlyView.An optoelectronic synapse based on Zr‐doped Bi4Ti3O12 exhibits learning/forgetting mimicry and achieves 94.2% accuracy on MNIST, demonstrating a novel pathway for high‐performance neuromorphic computing. ABSTRACT This study enhanced the optoelectronic properties of BIT (Bi4Ti3O12) through Zr doping at the B site, constructing an Au/Bi4Ti2.85Zr0.15O12 ...
Dongping Yang +5 more
wiley +1 more source