Results 61 to 70 of about 11,087 (240)

A Dependency Annotation Scheme to Extract Syntactic Features in Indonesian Sentences

International Journal of Technology, 2017
In languages with fixed word orders, syntactic information is useful when solving natural language processing (NLP) problems. In languages like Indonesian, however, which has a relatively free word order, the usefulness of syntactic information has ...
Budi Irmawati, Hiroyuki Shindo, Yuji Matsumoto   +2 more
doaj   +1 more source

A Fuzzy Risk Assessment Approach Based on Z‐Numbers for Enhancing Safety and Human‐Robot Collaboration in Automotive Sector

Advanced Intelligent Systems, EarlyView.
A novel risk assessment approach that integrates the fuzzy set theory and Z‐numbers with multicriteria decision‐making techniques (Delphi, decision‐making trial and evaluation laboratory, analytic network process, and VIseKriterijumska Optimizacija I Kompromisno Resenje) to manage uncertainty and prioritize human–robot collaboration risks. A real‐world
Emine Bozkus, İhsan Kaya
wiley   +1 more source

Entity recognition in the biomedical domain using a hybrid approach

Journal of Biomedical Semantics, 2017
Background This article describes a high-recall, high-precision approach for the extraction of biomedical entities from scientific articles. Method The approach uses a two-stage pipeline, combining a dictionary-based entity recognizer with a machine ...
Marco Basaldella, Lenz Furrer, Carlo Tasso, Fabio Rinaldi   +3 more
doaj   +1 more source

Parallel Multimodal Language Model: Enhanced Breast Nodule Diagnosis through Parallel Multimodal Representations and Large Language Models

Advanced Intelligent Systems, EarlyView.
This study introduces the Parallel Multimodal Language Model (PMLM), a multimodal diagnostic framework that integrates medical images and textual data to enhance early breast cancer detection. By addressing the limitations of text‐only large language models, PMLM significantly improves diagnostic performance.
Dashun Zheng, Patrick Cheong‐Iao Pang, Ping He, Yue Sun, Hongju Yan, Xiangyu Xiong, Ligang Cui, Tao Tan, Lingyun Bao   +8 more
wiley   +1 more source

End‐to‐End Attention‐Enhanced Transformer for Image Captioning in Biomimetic Wearable Devices

Advanced Intelligent Systems, EarlyView.
This work proposes an attention‐enhanced transformer for image captioning, improving multiregion feature representation and future‐context decoding, achieving 2.1 CIDEr gain and real‐time performance on wearables with low memory and power, ideal for edge deployment in biomimetic visual assistance.
Yongyang Yin, Hengyu Cao, Jun Lin
wiley   +1 more source

Towards a Conceptual Description of Verbs

Cybernetics and Information Technologies, 2020
Our work is focused on the conceptual description of verbs by employing two main resources – the lexical semantic network WordNet and the conceptual frames from FrameNet.
Leseva Svetlozara, Stoyanova Ivelina
doaj   +1 more source

Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial‐Ground Robotic System

Advanced Intelligent Systems, EarlyView.
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu, Zhaoqi Ma, Yunong Li, Junichiro Sugihara, Yicheng Chen, Jinjie Li, Moju Zhao   +6 more
wiley   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Shaping the human face: Periosteal bone modeling across ontogeny

The Anatomical Record, EarlyView.
Abstract Facial morphology is a defining aspect of Homo sapiens that distinguishes our species from fossil ancestors and plays a central role in estimating age, sex, and ancestry in both past and present populations. Understanding how the face develops during postnatal ontogeny is essential for interpreting adult facial variation.
Sarah E. Freidline, Madison Hubbart, Catherine Shipman, Najielie Burgos, Chiara Villa, Alexandra Schuh   +5 more
wiley   +1 more source

Computational cognitive linguistics [PDF]

Proceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004
The talk will describe an ongoing project (modestly named the Neural Theory of Language) that is attempting to model language behavior in a way that is both neurally plausible and computationally practical. The cornerstone of the effort is a formalism called Embodied Construction Grammar (ECG).
openaire   +2 more sources