Results 21 to 30 of about 318,360 (330)
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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Neural Named Entity Recognition for Kazakh
, 2023 We present several neural networks to address the task of named entity recognition for morphologically complex languages (MCL). Kazakh is a morphologically complex language in which each root/stem can produce hundreds or thousands of variant word forms.
Tolegen, Gulmira +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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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
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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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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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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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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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Persian Named Entity Recognition [PDF]
2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2017 Named Entity Recognition (NER) is an important natural language processing (NLP) tool for information extraction and retrieval from unstructured texts such as newspapers, blogs and emails. NER involves processing unstructured text for classification of words or expressions into relevant categories.
Dashtipour, Kia +5 more
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