Results 41 to 50 of about 177,864 (288)
Improvement of Chemical Named Entity Recognition through Sentence-based Random Under-sampling and Classifier Combination [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 Chemical Named Entity Recognition (NER) is the basic step for consequent information extraction tasks such as named entity resolution, drug-drug interaction discovery, extraction of the names of the molecules and their properties.
A. Akkasi, E. Varoglu
doaj +1 more source
Named Entity Recognition Using Web Document Corpus
, 2011 This paper introduces a named entity recognition approach in textual corpus. This Named Entity (NE) can be a named: location, person, organization, date, time, etc., characterized by instances.
Karaa, Wahiba Ben Abdessalem
core +2 more sources
Research on Entity Recognition and Tagging in Fiscal and Taxation Domain [PDF]
Jisuanji gongcheng, 2020 Traditional recognition methods for named entities do not work well for entities in specific domains,as they usually have more complex structures and types than those in the general domain.To address the problem,this paper takes the fiscal and taxation ...
QIU Yu, CHENG Li
doaj +1 more source
Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition
AAAI Conference on Artificial Intelligence, 2020 Named entity recognition (NER) is a well-studied task in natural language processing. However, the widely-used sequence labeling framework is usually difficult to detect entities with nested structures. The span-based method that can easily detect nested
Chuanqi Tan +4 more
semanticscholar +1 more source
Chinese Named Entity Recognition Based on Label Information Fusion and Multi-task Learning [PDF]
Jisuanji kexueWith the development of Chinese named entity recognition research,most models focus on enriching feature representation by integrating vocabulary or glyph information but ignore label information.Therefore,a Chinese named entity recognition model ...
LIAO Meng, JIA Zhen, LI Tianrui
doaj +1 more source
Supporting Named Entity Recognition and Document Classification for Effective Text Retrieval
, 2021 In this research paper, we present a system for named entity recognition and automatic document classification in an innovative knowledge management system for Applied Gaming. The objective of this project is to facilitate the management of machine learning-based named entity recognition models, that can be used for both: extracting different types of ...
Philippe, Tamla, +2 more
openaire +3 more sources
Mutual Reinforcement Effects in Japanese Sentence Classification and Named Entity Recognition Tasks
, 2023 25 pages, 12 figures, 19 tables.
Gan, Chengguang +2 more
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec +6 more
wiley +1 more source
Named entity recognition and emotional viewpoint monitoring in online news using artificial intelligence [PDF]
PeerJ Computer ScienceNetwork news is an important way for netizens to get social information. Massive news information hinders netizens to get key information. Named entity recognition technology under artificial background can realize the classification of place, date and ...
Manzi Tu
doaj +2 more sources
BMC Bioinformatics, 2021 Background The volume of biomedical literature and clinical data is growing at an exponential rate. Therefore, efficient access to data described in unstructured biomedical texts is a crucial task for the biomedical industry and research.
Renzo M. Rivera-Zavala, Paloma Martínez
doaj +1 more source