Zobrazeno 1 - 10
of 418
pro vyhledávání: '"named entity recognition (ner)"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Social media data are characterized by significant noise and non-standardization, thereby posing challenges for existing methods in recognizing named entities owing to the entity sparsity and insufficient semantic richness. Thus, to deal wit
Externí odkaz:
https://doaj.org/article/f51329f6adcd495abf9561a307ca4a7d
Publikováno v:
International Journal of Crowd Science, Vol 8, Iss 3, Pp 140-148 (2024)
In recent years, great success has been achieved in many tasks of natural language processing (NLP), e.g., named entity recognition (NER), especially in the high-resource language, i.e., English, thanks in part to the considerable amount of labeled r
Externí odkaz:
https://doaj.org/article/81d5a7ca26fa4efbbe29919c44fd942c
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 7, Pp 1911-1922 (2024)
The extraction of medical entities from drug instructions provides fundamental data for the intelligent retrieval of medication information and the construction of medical knowledge graphs, with remarkable research significance and practical value. H
Externí odkaz:
https://doaj.org/article/024877385fbe4f8cbc09f6374763a153
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 3, Pp 780-794 (2024)
Knowledge distillation is a general approach to improve the performance of the named entity recognition (NER) models. However, the classical knowledge distillation loss functions are coupled, which leads to poor logit distillation. In order to decoup
Externí odkaz:
https://doaj.org/article/f06d958c81df42039104f732c50894fa
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 2, Pp 506-515 (2024)
The accuracy of named entity recognition (NER) task will promote the research of multiple downstream tasks in natural language field. Due to a large number of nested semantics in text, named entities are recognized difficultly. Recognizing nested sem
Externí odkaz:
https://doaj.org/article/ffc934de0fe145368b3d7b6bdfa172d6
Publikováno v:
IEEE Access, Vol 12, Pp 189710-189721 (2024)
The aviation products’ manufacturing industry is undergoing a profound transformation towards intelligence, among which the construction of a knowledge graph specifically for the aviation field has become the core link in achieving cognitive intell
Externí odkaz:
https://doaj.org/article/58fbd636874e47b8bc0177f221398e6d
Autor:
YE Han, SUN Haichun, LI Xin
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 8, Pp 1938-1948 (2023)
Named entity recognition (NER) model can recognize the normal entities, but cannot provide any hints for the missing entity or the entity in the incorrect location, which cannot meet the extensive requirements on the text entities in the information
Externí odkaz:
https://doaj.org/article/1ed7a5e0e87c400f9d1525057a760046
Autor:
Rafik Rhouma, Christopher McMahon, Donald Mcgillivray, Hassan Massood, Safia Kanwal, Meraj Khan, Thomas Lo, Jean-Paul Lam, Christopher Smith
Publikováno v:
Informatics in Medicine Unlocked, Vol 48, Iss , Pp 101519- (2024)
In the dynamic world of healthcare technology, efficiently and accurately extracting medical data from physician–patient conversations is vital. This paper presents a new approach in healthcare technology, employing Natural Language Processing (NLP
Externí odkaz:
https://doaj.org/article/de7ddbbe85a8442d996518191d568317
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 6, Pp 1395-1404 (2023)
Named entity recognition of wheat diseases and pests is a key step to building a knowledge graph. Aiming at the problems of lack of training data, complex entity structure, diverse entity types and uneven entity distribution in wheat diseases and pes
Externí odkaz:
https://doaj.org/article/3c420023c2a4428baf12802cd842a0ea
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5682 (2024)
Social network services and chatbots are susceptible to personal information leakage while facilitating language learning without time or space constraints. Accurate detection of personal information is paramount in avoiding such leaks. Conventionall
Externí odkaz:
https://doaj.org/article/0e5f80ac687847d7987f65c56d157eb5