Results 81 to 90 of about 3,625,950 (296)

How Could Semantic Processing and Other NLP Tools Improve Online Legal Databases?

open access: yesTalTech Journal of European Studies, 2023
The spread of online databases and the increasingly sophisticated search solutions in the past 10–15 years have opened up many new opportunities for lawyers to find relevant documents.
Vági Renátó
doaj   +1 more source

On underspecified processing of dynamic semantics [PDF]

open access: yesProceedings of the 18th conference on Computational linguistics -, 2000
We propose a new inference system which operates on underspecified semantic representations of scope and anaphora. This system exploits anaphoric accessibility conditions from dynamic semantics to disambiguate scope ambiguities if possible. The main feature of the system is that it deals with underspecified descriptions directly, i. e.
Alexander Koller, Joachim Niehren
openaire   +2 more sources

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

open access: yesAdvanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim   +6 more
wiley   +1 more source

Are All Code-Switches Processed Alike? Examining Semantic v. Language Unexpectancy

open access: yesFrontiers in Psychology, 2020
Prior studies using the event-related potential (ERP) technique show that integrating sentential code-switches during online processing leads to a broadly distributed late positivity component (LPC), while processing semantically unexpected continuations
Jorge R. Valdés Kroff   +2 more
doaj   +1 more source

Children with autism spectrum disorder who demonstrate normal language scores use a bottom‐up semantic processing strategy: Evidence from N400 recordings

open access: yesBrain and Behavior, 2023
Introduction The N400 is an electrophysiological component that reflects lexical access and integration of words with mental representations. Methods Thirty‐five young children with a range of language capabilities (n = 21 neurotypical controls, 10 males,
Lee Phan   +9 more
doaj   +1 more source

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

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

Sex Differences in Semantic Processing: Event-Related Brain Potentials Distinguish between Lower and Higher Order Semantic Analysis during Word Reading [PDF]

open access: yes, 2006
Behavioral studies suggest that women and men differ in the strategic elaboration of verbally encoded information especially in the absence of external task demand. However, measuring such covert processing requires other than behavioral data.
Meier, Beat   +7 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

Semantic processing in children with autism spectrum disorder

open access: yesINFAD, 2020
In the present study, the semantic processing of a group of children with autism spectrum disorder (n = 24) was analyzed, with the main objective of finding out if they present differences with respect to a group of children with typical development (n =
Verónica Moreno Campos   +2 more
doaj   +1 more source

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