Results 21 to 30 of about 2,690,170 (252)

Research Progress of Named Entity Recognition Based on Large Language Model [PDF]

Jisuanji kexue yu tansuo
Named entity recognition aims to identify named entities and their types from unstructured text, which is an important basic task in natural language processing technologies such as question answering system, machine translation and knowledge graph. With
LIANG Jia, ZHANG Liping, YAN Sheng, ZHAO Yubo, ZHANG Yawen
doaj   +1 more source

Few-shot Named Entity Ｒecognition for Medical Text

Journal of Harbin University of Science and Technology, 2021
Aiming at the problem that medical text named entity recognition lacks sufficient labeled data，a newly named entity recognition deep neural network and data enhancement method is proposed.
QIN Jian, HOU Jian-xin, XIE Yi-ning, HE Yong-jun   +3 more
doaj   +1 more source

Biomedical Flat and Nested Named Entity Recognition: Methods, Challenges, and Advances

Applied Sciences
Biomedical named entity recognition (BioNER) aims to identify and classify biomedical entities (i.e., diseases, chemicals, and genes) from text into predefined classes. This process serves as an important initial step in extracting biomedical information
Yesol Park, Gyujin Son, Mina Rho
doaj   +1 more source

Classifiers Fusion for Arabic Named Entity Recognition [PDF]

The Egyptian Journal of Language Engineering, 2014
This paper presents a new approach to Arabic Name Entity Recognition (ANER). The introduced approach usesdifferent sets of features that are both language independent and language specific in a discriminative and generative machine learning frameworks ...
Wasim Abdulwasea, Sherif Abdou, Hassanin Barhamtoshy   +2 more
doaj   +1 more source

DanfeNER - Named Entity Recognition in Nepali Tweets

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
Twitter allows users to easily post tweets on any subject or event anytime, generating massive amounts of rich text content on diverse topics. Automated methods such as Named Entity Recognition (NER) are required to process the massive tweet data ...
Nobal Niraula, Jeevan Chapagain
doaj   +1 more source

OWNER — Toward Unsupervised Open-World Named Entity Recognition

IEEE Access
Named Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), traditionally addressed through supervised learning, which requires extensive annotated corpora. This requirement poses challenges, particularly in specialized domains
Pierre-Yves Genest, Pierre-Edouard Portier, Elod Egyed-Zsigmond, Martino Lovisetto   +3 more
doaj   +1 more source

Attention-Based End-To-End Named Entity Recognition From Speech

, 2021
| openaire: EC/H2020/780069/EU//MeMADNamed entities are heavily used in the field of spoken language understanding, which uses speech as an input. The standard way of doing named entity recognition from speech involves a pipeline of two systems, where ...
Mikko Kurimo, Dejan Porjazovski, Leinonen, Juho, Kurimo, Mikko, Juho Leinonen, Porjazovski, Dejan   +5 more
core   +1 more source

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

, 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  

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

Molecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu, Nicolas J. Niklaus, Anna M. Schläfli, Igor Tokarchuk, Magali Humbert, Federico La Manna, Bich Vu, David Maul, Ramin Radpour, Marianna Kruithof‐de Julio, Inti Zlobec, Jörn Dengjel, Bruce E. Torbett, Mario P. Tschan   +13 more
wiley   +1 more source

Cross-Lingual Named Entity Recognition Based on Attention and Adversarial Training

Applied Sciences, 2023
Named entity recognition aims to extract entities with specific meaning from unstructured text. Currently, deep learning methods have been widely used for this task and have achieved remarkable results, but it is often difficult to achieve better results
Hao Wang, Lekai Zhou, Jianyong Duan, Li He   +3 more
doaj   +1 more source