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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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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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ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer
IEEE Access, 2023 Named Entity Recognition is an information extraction task that serves as a pre-processing step for other natural language processing tasks, such as machine translation, information retrieval, and question answering.
Ebrahim Chekol Jibril, A. Cuneyd Tantug
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Named Entity Extraction for Knowledge Graphs: A Literature Overview
IEEE Access, 2020 An enormous amount of digital information is expressed as natural-language (NL) text that is not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for representing information in computer-processable form. Natural Language
Tareq Al-Moslmi +3 more
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Named entity recognition method based on joint entity boundary detection
Journal of Hebei University of Science and Technology, 2023 To solve the problem that traditional named entity recognition methods cannot effectively utilize entity boundary information, a named entity recognition method based on joint entity boundary detection was proposed.
Xiaoteng LI, Zhinan GOU, Kai GAO
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Concept recognition as a machine translation problem
BMC Bioinformatics, 2021 Background Automated assignment of specific ontology concepts to mentions in text is a critical task in biomedical natural language processing, and the subject of many open shared tasks.
Mayla R. Boguslav +4 more
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