Results 71 to 80 of about 85,104 (210)
Top-Down RST Parsing Utilizing Granularity Levels in Documents
Naoki Kobayashi +4 more
openalex +2 more sources
A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure [PDF]
Longyin Zhang +4 more
openalex +3 more sources
Chart-driven Connectionist Categorial Parsing of Spoken Korean
While most of the speech and natural language systems which were developed for English and other Indo-European languages neglect the morphological processing and integrate speech and natural language at the word level, for the agglutinative languages ...
Lee, Geunbae +2 more
core
Ch‐Ch‐Ch‐Ch‐Changes: The Impact of Supply Base Growth, Contraction, and Turnover on Firm Innovation
ABSTRACT Modern supply chains are experiencing more disturbances due to regulatory shifts, rising sustainability standards, emerging or declining markets, and disruption to critical inputs. Some firms react by strengthening existing supplier partnerships to resist changes, while others reconfigure relationships with suppliers to embrace changes ...
Jordan M. Barker +3 more
wiley +1 more source
ABSTRACT This systematic review examines how H. Igor Ansoff's theoretical contributions have evolved in contemporary strategic management through cluster analysis of 116 publications (1968–2024). Four distinct research clusters were identified, revealing that Ansoff's legacy has shifted from theoretical foundations to pedagogical applications and ...
Adiemir Hortega +4 more
wiley +1 more source
Efficient probabilistic top-down and left-corner parsing [PDF]
Brian Roark, Mark Johnson
openalex +1 more source
Reinforcement Learning Enabled Nanophotonic Devices
A reinforcement learning algorithm is used to design photonic devices. The method creates metagratings and grating couplers that efficiently control both the direction and polarization of light. Further, a reinforcement learning approach is used to design in‐plane integrated photonic devices. This approach paves the way for advanced photonic components
Zi Wang +4 more
wiley +1 more source
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source
Rapid Free‐Breathing and Automated 2D Shimming of the Lung at 3T
ABSTRACT Purpose To develop and validate a rapid, fully automated method for shimming of the lung. Methods For field mapping of the lung, a custom 2D RF spoiled gradient echo sequence was used offering sub‐millisecond echo times. At 3T, four echo‐shifted coronal images were acquired with a minimum TE of 0.57 ms and an inter‐echo spacing of 0.1 ms ...
Pavlos Panos +2 more
wiley +1 more source
Food webs consist of trophic interactions of variable strength. However, it remains challenging to predict how changes in environmental conditions, such as nutrient enrichment, can affect these interactions. In this paper, we propose to integrate food web theory with ecological stoichiometry, which predicts how elemental ratios affect trophic ...
Pierre Rogy +6 more
wiley +1 more source

