Results 151 to 160 of about 390,079 (317)

Semantic Integration of Schema Conforming XML Data Sources

, 2005
Dimitri Theodoratos, Theodore Dalamagas, I-Ting Liu   +2 more
openalex   +1 more source

NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge [PDF]

, 2018
Yow-Ting Shiue, Hen‐Hsen Huang, Hsin‐Hsi Chen   +2 more
openalex   +1 more source

Conversion Therapy for cT4b and M1 Esophageal Squamous Cell Carcinoma: A Comprehensive Systematic Review

Annals of Gastroenterological Surgery, EarlyView.
We systematically reviewed conversion therapy for esophageal squamous cell carcinoma and propose a response‐based treatment strategy for cT4b and M1 disease. For cT4b, we emphasize definitive chemoradiotherapy with timed re‐evaluation and selective salvage or chemoselection to surgery; for M1, conversion is reserved for limited‐burden responders with ...
Eisuke Booka, Hiroya Takeuchi
wiley   +1 more source

Cognitive and neural mechanisms of mental imagery supporting creative cognition

Communications Biology
While the role of mental imagery in creative cognition is acknowledged, the specific cognitive and neural mechanisms remain underexplored. This study aims to elucidate the supportive role of mental imagery in creative cognition from a semantic memory ...
Jing Gu, Xueyang Wang, Cheng Liu, Lin Yang, Jiaxin Fan, Jiangzhou Sun, Yoed Nissan Kenett, Jiang Qiu   +7 more
doaj   +1 more source

Uncertainty in Semantic Schema Integration

, 2005
In this paper we present a new method of semantic schema integration, based on uncertain semantic mappings. The purpose of semantic schema integration is to produce a unified representation of multiple data sources. First, schema matching is performed to identify the semantic mappings between the schema objects.
N. Rizopoulos, MAGNANI, MATTEO, P. McBrien, MONTESI, DANILO   +3 more
openaire   +2 more sources

Semantic Interoperability and Integration

, 2004
Executive ...
Kalfoglou, Yannis, Schorlemmer, Marco, Uschold, Mike, Sheth, Amit, Staab, Stefan   +4 more
openaire   +1 more source

Integrating Semantic Parsing with Dependency Parsing for Malayalam: A Framework for Enhanced Syntactic and Semantic Understanding [PDF]

P.V. Ajusha, A.P. Ajees
openalex   +1 more source

Integrating Semantic Directions with Concept Mover's Distance to Measure Binary Concept Engagement

, 2020
Marshall A. Taylor, Dustin S. Stoltz
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Commentary: Oscillatory Neuronal Activity Reflects Lexical-Semantic Feature Integration within and across Sensory Modalities in Distributed Cortical Networks.

Frontiers in Psychology, 2016
Svetlana ePinet, Raphaël eFargier
doaj   +1 more source