Results 31 to 40 of about 103,682 (312)
Transfer learning for Turkish named entity recognition on noisy text [PDF]
, 2019 This is an accepted manuscript of an article published by Cambridge University Press in Natural Language Engineering on 28/01/2020, available online: https://doi.org/10.1017/S1351324919000627 The accepted version of the publication may differ from the ...
Can, Burcu, Kagan Akkaya, E
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Automatic Construction of Chinese Nested Named Entity Recognition Corpus Based on Wikipedia [PDF]
Jisuanji gongcheng, 2018 Traditional supervised learning method needs to label the corpus in a certain scale,which limits its domain adaptability.Therefore,a method of automatically constructing a Chinese nested named entity recognition corpus from Chinese Wikipedia entries is ...
LI Yanqun,HE Yunqi,QIAN Longhua,ZHOU Guodong
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Multi-feature Chinese named entity recognition
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 characterbased named entity recognition models which word ...
XU Xiao-Bo +4 more
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Named entity recognition method based on multi-granularity cognition
四川大学学报. 自然科学版, 2022 In the field of data scarcity, the performance of named entity recognition is limited by the expression of underfitting word features. The named entity recognition effect can be improved by introducing conventional multitask learning methods, but ...
LI Pan-Feng +3 more
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Evaluation of Named Entity Recognition Algorithms in Short Texts
CLEI Electronic Journal, 2017 : One of the major consequences of the growth of social networks has been the generation of huge volumes of content. The text that is generated in social networks constitutes a new type of content, that is short, informal, lacking grammar in some cases,
Edgar Casasola Murillo, Raquel Fonseca
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Deep learning for named entity recognition in Turkish radiology reports. [PDF]
Diagn Interv RadiolPURPOSE: The primary objective of this research is to enhance the accuracy and efficiency of information extraction from radiology reports. In addressing this objective, the study aims to develop and evaluate a deep learning framework for named entity ...
Abdullahi AA +5 more
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Multi-grained Named Entity Recognition [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 In ACL 2019 as a long ...
Congying Xia +8 more
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MULTITHREAD IN NAMED ENTITY RECOGNITION [PDF]
International Journal of Intelligent Computing and Information Sciences, 2016 According to Gordon Earle Moore, Every two years, the number of core on a CPU chip is doubling. So we change our program to use threads for different reasons, program will run faster and make better use of the multiple CPU/core architecture that you are ...
Z. Rabea, M. Abu Elsoud, M. Rashed
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Biomedical Flat and Nested Named Entity Recognition: Methods, Challenges, and Advances
Applied SciencesBiomedical 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
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Domain Specific Entity Recognition With Semantic-Based Deep Learning Approach
IEEE Access, 2021 In digital agriculture, agronomists are required to make timely, profitable and more actionable precise decisions based on knowledge and experience. The input can be cultivated and related agricultural data, and one of them is text data, including news ...
Quoc Hung Ngo +2 more
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