Results 91 to 100 of about 526,193 (325)

New Perspectives in Sinographic Language Processing Through the Use of Character Structure

, 2013
Chinese characters have a complex and hierarchical graphical structure carrying both semantic and phonetic information. We use this structure to enhance the text model and obtain better results in standard NLP operations.
A. Guder-Manitius, C. Schindelin, C. Williams, J. Li, J. Rocha, K. Tamaoka, M. Taft, M.J. Dürst, N. Chikamatsu, R. Dai, S. Yu, T. Bishop, T. Morioka, Y. Fujiwara, Y.-M. Chou   +14 more
core   +3 more sources

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Crowdsourcing Semantic Label Propagation in Relation Classification

, 2018
Distant supervision is a popular method for performing relation extraction from text that is known to produce noisy labels. Most progress in relation extraction and classification has been made with crowdsourced corrections to distant-supervised labels ...
Aroyo, Lora, Dumitrache, Anca, Welty, Chris   +2 more
core  

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced 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, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Funkcje par wyrazów ze zbiorów opozycji semantycznych wieloczłonowych w zdaniach z tekstów Narodowego Korpusu Języka Polskiego

Studia z Filologii Polskiej i Słowiańskiej
Functions of Pairs of Words from Sets of Non-Binary Semantic Oppositions in Sentences from the Texts of the National Corpus of Polish The article attempts to investigate whether pairs of words from sets of non-binary semantic oppositions perform the ...
Nawoja Mikołajczak-Matyja
doaj   +1 more source

Partition semantics for relations

Journal of Computer and System Sciences, 1985
We use set-theoretic partitions to assign semantics to relation schemes, relations, and dependencies. This approach leads to a natural extension of functional dependencies, the most common database constraints, which is based on the duality between product and sum of partitions. These more general constraints, which we call partition dependencies (PDs),
Cosmadakis, Stavros S., Kanellakis, Paris C., Spyratos, Nicolas   +2 more
openaire   +2 more sources

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

Advanced 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

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

Advanced 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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Information Extraction Using Distant Supervision and Semantic Similarities

Advances in Electrical and Computer Engineering, 2016
Information extraction is one of the main research tasks in natural language processing and text mining that extracts useful information from unstructured sentences. Information extraction techniques include named entity recognition, relation extraction,
PARK, Y., KANG, S., SEO, J.
doaj   +1 more source