Results 31 to 40 of about 240,365 (310)

Automatic parsing of sports videos with grammars [PDF]

open access: yes, 2005
Motivated by the analogies between languages and sports videos, we introduce a novel approach for video parsing with grammars. It utilizes compiler techniques for integrating both semantic annotation and syntactic analysis to generate a semantic index ...
Li, J, Lü, K, Wang, F
core   +1 more source

Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery

open access: yesAdvanced Materials, EarlyView.
Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob   +3 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.
Anton Bryl   +5 more
core   +2 more sources

From Brittle to Flexible: Influence of Glucose‐Based Additives on Cellulose Nanocrystal Self‐Assembly in Suspension and Dried Photonic Films

open access: yesAdvanced Optical Materials, EarlyView.
Cellulose nanocrystals (CNCs) self‐assemble in aqueous suspension into chiral nematic liquid crystals, resulting in structurally colored films upon drying. Here, the influence of sugar additives on CNC self‐assembly in suspension and in films are studied.
Buse Tatli   +5 more
wiley   +1 more source

The scope of children’s scope: Representation, parsing and learning

open access: yesGlossa, 2018
This paper reviews some developmental psycholinguistic literature on quantifier scope. I demonstrate how scope has been used as a valuable probe into children’s grammatical representations, the nature of children’s on-line understanding mechanisms, and ...
Jeffrey Lidz
doaj   +2 more sources

Statistical parsing of morphologically rich languages (SPMRL): what, how and whither [PDF]

open access: yes, 2010
The term Morphologically Rich Languages (MRLs) refers to languages in which significant information concerning syntactic units and relations is expressed at word-level. There is ample evidence that the application of readily available statistical parsing
Candito, Marie   +8 more
core   +2 more sources

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

Digitalization of services to improve the quality of social infrastructure

open access: yesπ-Economy, 2022
The article substantiates the possibility of involving the population to participate in improving the quality of the urban environment in the context of digital transformation.
Kurcheeva Galina, Kopylov Victor
doaj   +1 more source

Tumbling Magnetic Microrobots for Targeted In Vivo Drug Delivery in the GI Tract

open access: yesAdvanced Robotics Research, EarlyView.
We introduce a microrobot design and integrated system for on‐demand targeted drug release in the gastrointestinal tract. The microrobot has an embedded magnet for actuation with external magnetic fields and is visualized in real time using ultrasound. It has two drug release ports sealed with a thermally sensitive wax. Local heating of the wax using a
Aaron C. Davis   +7 more
wiley   +1 more source

Unsupervised Dependency Parsing: Let's Use Supervised Parsers

open access: yes, 2015
We present a self-training approach to unsupervised dependency parsing that reuses existing supervised and unsupervised parsing algorithms. Our approach, called `iterated reranking' (IR), starts with dependency trees generated by an unsupervised parser ...
Le, Phong, Zuidema, Willem
core   +1 more source

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