Results 91 to 100 of about 864,317 (294)

Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering

open access: yes, 2018
The most approaches to Knowledge Base Question Answering are based on semantic parsing. In this paper, we address the problem of learning vector representations for complex semantic parses that consist of multiple entities and relations.
Gurevych, Iryna, Sorokin, Daniil
core  

A conceptual model for semantically-based e-government portals [PDF]

open access: yes, 2005
Issues of semantic interoperability and service integration for e-government portals are the domain of interest of the present paper. We propose a Conceptual Model for One-Stop e-Government Portals based on the Semantic Web Service technology.
Cabral, Liliana   +3 more
core  

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

open access: yesAdvanced 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

The Properties of Similarity for Jonsson’s Theories and Their Models

open access: yesҚарағанды университетінің хабаршысы. Математика сериясы, 2015
Actually, we study the connections of the ∆-PJ-theories with their centers. The properties of various companions of some ∆-PJ-theories and their connection with this theory are considered. Also the similarity of the central types of ∆-PJ-theories in the
A.R. Yeshkeyev
doaj  

Methods to integrate a language model with semantic information for a word prediction component

open access: yes, 2007
Most current word prediction systems make use of n-gram language models (LM) to estimate the probability of the following word in a phrase. In the past years there have been many attempts to enrich such language models with further syntactic or semantic ...
Antoine, Jean-Yves, Wandmacher, Tonio
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Disegnare un’assenza: efficacia e potenzialità del modello digitale semantico. L’architettura di Sanmicheli e gli affreschi di Veronese, Zelotti e Canera in villa Soranzo a Treville di Treviso

open access: yesDisegnare con, 2015
Il processo conoscitivo di un manufatto che si caratte-rizzi per la presenza di pesanti modifiche, numerose mutilazioni o una quasi totale sparizione, passa neces-sariamente per lo studio delle fonti indirette che diven-gono il riferimento principale ...
GIOVANNI ASMUNDO, RITA EL ASMAR
doaj  

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

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