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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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Entity Recognition Fusing BERT and Memory Networks [PDF]
Jisuanji kexue, 2021 Entity recognition is a sub task of information extraction.The traditional entity recognition model is used to identify entities of personnel,organization,location and name.In the real world,more types of entities must be considered,and fine-grained ...
CHEN De, SONG Hua-zhu, ZHANG Juan, ZHOU Hong-lin
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Vietnamese Event Entity Recognition Combining Dictionary and Adversarial Transfer [PDF]
Jisuanji gongcheng, 2022 The problem of the scarcity of Vietnamese event annotated corpus, comprising several unregistered words, reduces the accuracy of entity recognition.This study proposes an entity recognition model that combines a dictionary and adversarial transfer.It ...
XUE Zhenyu, XIAN Yantuan, YU Zhengtao, GAO Shengxiang, PU Liuqing
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Entity Anomaly Recognition Method Based on GCNN and GRU [PDF]
Jisuanji kexue yu tansuo, 2023 Named entity recognition (NER) model can recognize the normal entities, but cannot provide any hints for the missing entity or the entity in the incorrect location, which cannot meet the extensive requirements on the text entities in the information ...
YE Han, SUN Haichun, LI Xin
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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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AWdpCNER: Automated Wdp Chinese Named Entity Recognition from Wheat Diseases and Pests Text
Agriculture, 2023 Chinese named entity recognition of wheat diseases and pests is an initial and key step in constructing knowledge graphs. In the field of wheat diseases and pests, there are problems, such as lack of training data, nested entities, fuzzy entity ...
Demeng Zhang +4 more
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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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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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Named Entity Recognition of Wheat Diseases and Pests Fusing ALBERT and Rules [PDF]
Jisuanji kexue yu tansuo, 2023 Named entity recognition of wheat diseases and pests is a key step to building a knowledge graph. Aiming at the problems of lack of training data, complex entity structure, diverse entity types and uneven entity distribution in wheat diseases and pests ...
LIU Hebing, ZHANG Demeng, XIONG Shufeng, MA Xinming, XI Lei
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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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