Results 61 to 70 of about 408,758 (354)
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
doaj +1 more source
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
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)
International Workshop on Semantic Evaluation, 2022 We present the findings of SemEval-2022 Task 11 on Multilingual Complex Named Entity Recognition MULTICONER. Divided into 13 tracks, the task focused on methods to identify complex named entities (like names of movies, products and groups) in 11 ...
S. Malmasi +4 more
semanticscholar +1 more source
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Recent advances in Named Entity Recognition (NER) show that document-level contexts can significantly improve model performance. In many application scenarios, however, such contexts are not available.
Xinyu Wang +6 more
semanticscholar +1 more source
Named Entity Recognition in Assamese [PDF]
International Journal of Computer Applications, 2016 Named Entity Recognition is a process through which a program extracts proper nouns in texts and associates them with a proper tag. NER has made significant progress in European languages, but in Indian languages due to the lack of effort as well as proper resources, it remains a challenging task.
Jugal Kalita +2 more
openaire +1 more source
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
doaj +1 more source
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Named Entity Recognition (NER) in Few-Shot setting is imperative for entity tagging in low resource domains. Existing approaches only learn class-specific semantic features and intermediate representations from source domains.
Sarkar Snigdha Sarathi Das +3 more
semanticscholar +1 more source
Research Progress of Named Entity Recognition Based on Large Language Model [PDF]
Jisuanji kexue yu tansuoNamed 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
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Cross-Lingual Named Entity Recognition Based on Attention and Adversarial Training
Applied Sciences, 2023 Named entity recognition aims to extract entities with specific meaning from unstructured text. Currently, deep learning methods have been widely used for this task and have achieved remarkable results, but it is often difficult to achieve better results
Hao Wang +3 more
doaj +1 more source
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Named entity recognition (NER) is a well-studied task in natural language processing. Traditional NER research only deals with flat entities and ignores nested entities.
Yongliang Shen +5 more
semanticscholar +1 more source