Results 91 to 100 of about 103,682 (312)

A Chinese Few-Shot Named-Entity Recognition Model Based on Multi-Label Prompts and Boundary Information

Applied Sciences
Currently, few-shot setting and entity nesting are two major challenges in named-entity recognition (NER). Compared to English, Chinese NER not only has issues such as complex grammatical structures, polysemy, and entity nesting but also faces low ...
Cong Zhou, Baohua Huang, Yunjie Ling
doaj   +1 more source

Towards large-scale, open-domain and ontology-based named entity classification

, 2005
Cimiano P, Völker J. Towards large-scale, open-domain and ontology-based named entity classification. In: Angelova G, Bontcheva K, Mitkov R, Nicolov N, eds.
Völker, Johanna, Angelova, G., Mitkov, R., Nicolov, N., Bontcheva, K., Cimiano, Philipp ; https://orcid.org/   +5 more
core  

Named Entity Recognition for Spoken Finnish

, 2020
| openaire: EC/H2020/780069/EU//MeMADIn this paper we present a Bidirectional LSTM neural network with a Conditional Random Field layer on top, which utilizes word, character and morph embeddings in order to perform named entity recognition on various ...
Mikko Kurimo, Dejan Porjazovski, Leinonen, Juho, Kurimo, Mikko, Juho Leinonen, Porjazovski, Dejan   +5 more
core   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +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

A realistic assessment of methods for extracting gene/protein interactions from free text [PDF]

, 2009
Background: The automated extraction of gene and/or protein interactions from the literature is one of the most important targets of biomedical text mining research.
Kabiljo, R., Clegg, AB, Renata Kabiljo, Shepherd, AJ, Kabiljo Renata, Clegg Andrew B, Andrew B Clegg, Shepherd Adrian J, Shepherd, Adrian J., Kabiljo, R, Clegg, A.B., Adrian J Shepherd   +11 more
core   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +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

Named Entity Recognition in Context

CoRR
We present the Named Entity Recognition system developed by the Edit Dunhuang team for the EvaHan2025 competition. Our approach integrates three core components: (1) Pindola, a modern transformer-based bidirectional encoder pretrained on a large corpus of Classical Chinese texts; (2) a retrieval module that fetches relevant external context for each ...
Colin Brisson, Ayoub Kahfy, Marc Bui, Frédéric Constant   +3 more
openaire   +2 more sources

Multi-Agent Classifiers Fusion Strategy for Biomedical Named Entity Recognition

, 2008
Recognizing the biomedical named entity hasbecome one of the most fundamental tasks in thebiomedical knowledge discovery. The multi-agentclassifiers fusion approach proposed here was found toefficiently recognize biomedical named entity.
Zhao Tiejun, Wang Haochang, Liu Jianmiao
core