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Nested named entity recognition [PDF]
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 1 - EMNLP '09, 2009 Many named entities contain other named entities inside them. Despite this fact, the field of named entity recognition has almost entirely ignored nested named entity recognition, but due to technological, rather than ideological reasons. In this paper, we present a new technique for recognizing nested named entities, by using a discriminative ...
Jenny Rose Finkel +1 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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MALAY NAMED ENTITY RECOGNITION USING RULE BASED APPROACH
Asia-Pacific Journal of Information Technology and Multimedia, 2019 Named Entity Recognition (NER) research based on rule is widely investigated and is used in various languages mainly English. However, the English NER rules are different with Malay language due to different morphology. Some of challenging issue in Malay
Ulfa Nadia, Nazlia Omar
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Spanish named entity recognition in the biomedical domain [PDF]
, 2018 Named Entity Recognition in the clinical domain and in languages different from English has the difficulty of the absence of complete dictionaries, the informality of texts, the polysemy of terms, the lack of accordance in the boundaries of an entity ...
Cotik, Viviana +2 more
core +1 more source
Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text
Remote Sensing, 2020 The automatic extraction of geospatial information is an important aspect of data mining. Computer systems capable of discovering geographic information from natural language involve a complex process called geoparsing, which includes two important tasks:
Edwin Aldana-Bobadilla +5 more
doaj +1 more source
DroNER: Dataset for drone named entity recognition
Data in Brief, 2023 The dataset is constructed from the drone flight log messages extracted from publicly available drone image datasets provided by VTO Labs under the Drone Forensic Program.
Swardiantara Silalahi +2 more
doaj +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
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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
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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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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
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