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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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Named Entity Recognition and Named Entity Linking on Esports Contents [PDF]
Annals of computer science and information systems, 2020 Ziyu Liu +3 more
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Review on Named Entity Recognition [PDF]
Jisuanji kexue yu tansuo, 2022 In the field of natural language processing, named entity recognition is the first key step of information extraction. Named entity recognition task aims to recognize named entities from a large number of unstructured texts and classify them into ...
LI Dongmei, LUO Sisi, ZHANG Xiaoping, XU Fu
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Multilingual Fine-Grained Named Entity Recognition [PDF]
Computer Science Journal of Moldova, 2023 The “MultiCoNER II Multilingual Complex Named Entity Recognition” task\footnote[1]{\url{https://multiconer.github.io}} within SemEval 2023 competition focuses on identifying complex named entities (NEs), such as the titles of creative works (e.g., songs,
Viorica-Camelia Lupancu, Adrian Iftene
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Nested Biomedical Named Entity Recognition [PDF]
International Journal of Intelligent Computing and Information Sciences, 2022 Named entity recognition has been regarded as an important task in natural language processing. Extracting biomedical entities such as RNAs, DNAs, cell lines, proteins, and cell types has been recognized as a challenging task.
Nagwa Badr, yasmine afify, Lobna Mady
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Survey of Chinese Named Entity Recognition [PDF]
Jisuanji kexue yu tansuo, 2022 The Chinese named entity recognition (NER) task is a sub-task within the information extraction domain, where the task goal is to find, identify and classify relevant entities, such as names of people, places and organizations, from sentences given a ...
ZHAO Shan, LUO Rui, CAI Zhiping
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Named entity recognition in Wikipedia [PDF]
Proceedings of the 2009 Workshop on The People's Web Meets NLP Collaboratively Constructed Semantic Resources - People's Web '09, 2009 Named entity recognition (NER) is used in many domains beyond the newswire text that comprises current gold-standard corpora. Recent work has used Wikipedia's link structure to automatically generate near gold-standard annotations. Until now, these resources have only been evaluated on newswire corpora or themselves.
Dominic Balasuriya +4 more
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Named entity recognition in resumes
CoRR, 2023 Named entity recognition (NER) is used to extract information from various documents and texts such as names and dates. It is important to extract education and work experience information from resumes in order to filter them. Considering the fact that all information in a resume has to be entered to the companys system manually, automatizing this ...
Ege Kesim, Aysu Deliahmetoglu
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MULTITHREAD IN NAMED ENTITY RECOGNITION [PDF]
International Journal of Intelligent Computing and Information Sciences, 2016 According to Gordon Earle Moore, Every two years, the number of core on a CPU chip is doubling. So we change our program to use threads for different reasons, program will run faster and make better use of the multiple CPU/core architecture that you are ...
Z. Rabea, M. Abu Elsoud, M. Rashed
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Review of Chinese Named Entity Recognition Research [PDF]
Jisuanji kexue yu tansuo, 2023 With the rapid development of related technologies in the field of natural language processing, as an upstream task of natural language processing, improving the accuracy of named entity recognition is of great significance for subsequent text processing
WANG Yingjie, ZHANG Chengye, BAI Fengbo, WANG Zumin, JI Changqing
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