Results 31 to 40 of about 2,584,993 (291)

Arabic named entity recognition. [PDF]

open access: yes, 2015
En esta tesis doctoral se describen las investigaciones realizadas con el objetivo de determinar las mejores tecnicas para construir un Reconocedor de Entidades Nombradas en Arabe. Tal sistema tendria la habilidad de identificar y clasificar las entidades nombradas que se encuentran en un texto arabe de dominio abierto.
openaire   +2 more sources

Named Entity recognition without gazetteers [PDF]

open access: yesProceedings of the ninth conference on European chapter of the Association for Computational Linguistics -, 1999
It is often claimed that Named Entity recognition systems need extensive gazetteers---lists of names of people, organisations, locations, and other named entities. Indeed, the compilation of such gazetteers is sometimes mentioned as a bottleneck in the design of Named Entity recognition systems.We report on a Named Entity recognition system which ...
Mikheev, Andrei   +2 more
openaire   +3 more sources

Named Entity Recognition - Is There a Glass Ceiling? [PDF]

open access: yesProceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019
Accepted to CoNLL ...
Tomasz Stanislawek   +4 more
openaire   +3 more sources

Multi-feature Chinese named entity recognition

open access: yes四川大学学报. 自然科学版, 2022
The task of named entity recognition is to locate the entities in the text and classify them into predefined categories. The current mainstream Chinese named entity recognition models are characterbased named entity recognition models which word ...
XU Xiao-Bo   +4 more
doaj  

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

open access: yesJisuanji 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

DanfeNER - Named Entity Recognition in Nepali Tweets

open access: yesProceedings 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

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

open access: yesApplied 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]

open access: yesThe 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   +2 more
doaj   +1 more source

OWNER — Toward Unsupervised Open-World Named Entity Recognition

open access: yesIEEE 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   +3 more
doaj   +1 more source

Few-shot Named Entity Recognition for Medical Text

open access: yesJournal 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   +3 more
doaj   +1 more source

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