Results 71 to 80 of about 316,674 (279)

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

Advanced 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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Named Entity Recognition: Resource Constrained Maximum Path

ITM Web of Conferences, 2017
Information Extraction (IE) is a process focused on automatic extraction of structured information from unstructured text sources. One open research field of IE relates to Named Entity Recognition (NER), aimed at identifying and associating atomic ...
Di Puglia Pugliese Luigi, Fersini Elisabetta, Guerriero Francesca, Messina Enza   +3 more
doaj   +1 more source

Integrated Model for Morphological Analysis and Named Entity Recognition Based on Label Attention Networks in Korean

Applied Sciences, 2020
In well-spaced Korean sentences, morphological analysis is the first step in natural language processing, in which a Korean sentence is segmented into a sequence of morphemes and the parts of speech of the segmented morphemes are determined. Named entity
Hongjin Kim, Harksoo Kim
doaj   +1 more source

Federated Named Entity Recognition

, 2022
We present an analysis of the performance of Federated Learning in a paradigmatic natural-language processing task: Named-Entity Recognition (NER). For our evaluation, we use the language-independent CoNLL-2003 dataset as our benchmark dataset and a Bi-LSTM-CRF model as our benchmark NER model.
Mathew, Joel, Stripelis, Dimitris, Ambite, José Luis   +2 more
openaire   +1 more source

A named entity recognition dataset for Turkish

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
Named entity recognition is one of the important topics in the research area of natural language processing. Named entity recognition studies conducted on Turkish texts are quite limited, compared to the studies on other languages. Besides, the lack of common data sets makes the comparison of different approaches harder.
Kucuk, Dilek, Kucuk, Dogan, Arici, Nursal   +2 more
openaire   +3 more sources

An Artificial Antibody‐Based Toolbox Accelerates Validation of Hidden Microproteins Encoded by the Dark Genome

Advanced Science, EarlyView.
Microproteins are hidden treasures encoded by the “dark proteome” but remain largely underexplored due to the lack of highly efficient tools. We developed a molecularly imprinted polymers (MIPs)‐based toolbox (CLAIMID) to achieve accelerated and ultrasensitive microproteins validation at multiple biological scales (single living cells, cell populations,
Hui He, Anqi Zhang, Zhanchen Guo, Qi Li, Song Gao, Wenyan Guan, Ying Li, Jingran Chen, Sijia Sun, Jian He, Zhen Liu   +10 more
wiley   +1 more source

Chinese Named Entity Recognition Integrating Positional and Entity Category Information [PDF]

Jisuanji gongcheng
Words play a crucial role as contextual information in Chinese Named Entity Recognition (NER) tasks. Although character-based methods have achieved some success, existing methods simplistically embed word information and use a limited feature capture ...
YANG Junhui, LI Sujin
doaj   +1 more source

Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition

, 2019
Traditional language models are unable to efficiently model entity names observed in text. All but the most popular named entities appear infrequently in text providing insufficient context.
Du, Jingfei, Liu, Angli, Stoyanov, Veselin   +2 more
core   +1 more source

Named entity recognition in Wikipedia [PDF]

Proceedings of the 2009 Workshop on The People's Web Meets NLP Collaboratively Constructed Semantic Resources - People's Web '09, 2009
Named entity recognition (NER) is used in many domains beyond the newswire text that comprises current gold-standard corpora. Recent work has used Wikipedia's link structure to automatically generate near gold-standard annotations. Until now, these resources have only been evaluated on newswire corpora or themselves.
Dominic Balasuriya, Nicky Ringland, Joel Nothman, Tara Murphy, James R. Curran   +4 more
openaire   +1 more source

Heme‐NO Dilates Arteries via Mobilization of NO Moieties From an Intracellular NO Store Within Vascular Smooth Muscle Cells

Advanced Science, EarlyView.
Nitrosyl heme emerges as an extracellular nitrodilator that dilates arteries without crossing the cell membrane. Instead, heme‐NO mobilizes NO moieties from a preformed intracellular NO store within vascular smooth muscle, providing both functional and chemical evidence for the NANOS model, revealing a previously unrecognized mechanism of arterial ...
Taiming Liu, Meijuan Zhang, Lingchao Zhu, Haiyan Ke, Amancio de Souza, Qian Li, Daniel Castella, Nicolai Lehnert, Lubo Zhang, Arlin B. Blood   +9 more
wiley   +1 more source