Results 71 to 80 of about 3,445,897 (351)
Fine-Tuning QurSim on Monolingual and Multilingual Models for Semantic Search
InformationTransformers have made a significant breakthrough in natural language processing. These models are trained on large datasets and can handle multiple tasks.
Tania Afzal +3 more
doaj +1 more source
Distributed Web-Scale Infrastructure For Crawling, Indexing And Search With Semantic Support
Computer Science, 2012 In this paper, we describe our work in progress in the scope of web-scale informationextraction and information retrieval utilizing distributed computing.
Stefan Dlugolinsky +3 more
doaj +1 more source
Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic Search
Mehran University Research Journal of Engineering and Technology, 2020 Semantic Search refers to set of approaches dealing with usage of Semantic Web technologies for information retrieval in order to make the process machine understandable and fetch precise results.
Aatif Ahmad Khan, Sanjay Kumar Malik
doaj +1 more source
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Associating low-level features with semantic concepts using video objects and relevance feedback [PDF]
, 2005 The holy grail of multimedia indexing and retrieval is developing algorithms capable of imitating human abilities in distinguishing and recognising semantic concepts within the content, so that retrieval can be based on ”real world” concepts that come ...
Murphy, Noel +3 more
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Semankey: A Semantics-Driven Approach for Querying RDF Repositories Using Keywords
IEEE Access, 2021 The Web of Data aims at linking Internet data repositories. Semantic Web technologies make data easily readable by computer agents, enabling the automation of complex tasks and facilitating data integration.
Francisco Abad-Navarro +2 more
doaj +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced 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
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 +4 more
wiley +1 more source
BeamAttack: Generating High-quality Textual Adversarial Examples through Beam Search and Mixed Semantic Spaces [PDF]
, 2023 Hai Zhu, Qinyang Zhao, Yuren Wu
openalex +1 more source
Semantic Search Meets the Web [PDF]
2008 IEEE International Conference on Semantic Computing, 2008 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work
Fernández Sánchez, Miriam +6 more
openaire +2 more sources