Results 61 to 70 of about 2,702,605 (333)
Full-span named entity recognition with boundary regression
Connection Science, 2023 Span classification is a popular method for nested named entity recognition. To recognise full-span named entities, span-based models should enumerate and verify all possible entity spans in a sentence, which leads to serious problems regarding ...
Junhui Yu +4 more
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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 +3 more
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German BERT Model for Legal Named Entity Recognition [PDF]
International Conference on Agents and Artificial Intelligence, 2023 The use of BERT, one of the most popular language models, has led to improvements in many Natural Language Processing (NLP) tasks. One such task is Named Entity Recognition (NER) i.e.
Harshil Darji +2 more
semanticscholar +1 more source
Named entity evolution recognition on the Blogosphere [PDF]
International Journal on Digital Libraries, 2014 Advancements in technology and culture lead to changes in our language. These changes create a gap between the language known by users and the language stored in digital archives. It affects user's possibility to firstly find content and secondly interpret that content. In previous work we introduced our approach for Named Entity Evolution Recognition~(
Helge Holzmann +2 more
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Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity [PDF]
, 2006 In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers ...
Turney, Peter +8 more
core +1 more source
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
doaj
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
Arabic named entity recognition. [PDF]
, 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]
Proceedings 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
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Named Entity Recognition in Electronic Health Records: A Methodological Review
Healthcare Informatics Research, 2023 Objectives A substantial portion of the data contained in Electronic Health Records (EHR) is unstructured, often appearing as free text. This format restricts its potential utility in clinical decision-making.
María C. Durango +2 more
semanticscholar +1 more source