Results 91 to 100 of about 977,699 (300)

A Data-Oriented Approach to Semantic Interpretation

open access: yes, 1996
In Data-Oriented Parsing (DOP), an annotated language corpus is used as a stochastic grammar. The most probable analysis of a new input sentence is constructed by combining sub-analyses from the corpus in the most probable way.
Bod, Rens, Bonnema, Remko, Scha, Remko
core   +2 more sources

Scalable Task Planning via Large Language Models and Structured World Representations

open access: yesAdvanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari   +4 more
wiley   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

open access: yesAdvanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo   +6 more
wiley   +1 more source

Logistics Services Sector and Economic Recession in Greece: Challenges and Opportunities

open access: yesLogistics, 2018
The recent economic recession in Greece has had a detrimental impact on all national business activities, with the logistics industry being one of the most affected sectors primarily due to the significant decrease in market demand for goods and services.
Dimitrios Folinas   +2 more
doaj   +1 more source

Measuring Semantic Similarity by Latent Relational Analysis [PDF]

open access: yes, 2005
This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words.
Turney, Peter D.
core   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Software patch comparison technology through semantic analysis on function

open access: yes网络与信息安全学报, 2019
Patch comparison provides support for software vulnerability,and structural comparison has been developed.Based on summarizing binary files comparison and anti-comparison methods,comparison technology was proposed by semantic analysis on function to ...
Yan CAO   +3 more
doaj  

Semantics Analysis

open access: yesPIONEER: Journal of Language and Literature, 2019
Meaning concepts is always being an interesting topic in linguistics especially about antonymy. Antonymy is not only found in absolute term but also in other ones. This research then tried to discuss antonymy in Bahasa Indonesia particularly in military terms, time and taste terms.
openaire   +2 more sources

Text-based Semantic Annotation Service for Multimedia Content in the Esperonto project [PDF]

open access: yes, 2004
Within the Esperonto project, an integration of NLP, ontologies and other knowledge bases, is being performed with the goal to implement a semantic annotation service that upgrades the actual Web towards the emerging Semantic Web.
Contreras, Jesús   +3 more
core   +1 more source

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

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