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Memory-based named entity recognition [PDF]
proceeding of the 6th conference on Natural language learning - COLING-02, 2002 We apply a memory-based learner to the CoNLL-2002 shared task: language-independent named entity recognition. We use three additional techniques for improving the base performance of the learner: cascading, feature selection and system combination.
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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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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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Arabic named entity recognition. [PDF]
, 2015 En esta tesis doctoral se describen las investigaciones realizadas con el objetivo de determinar las mejores tecnicas para construir un Reconocedor de Entidades Nombradas en Arabe. Tal sistema tendria la habilidad de identificar y clasificar las entidades nombradas que se encuentran en un texto arabe de dominio abierto. La tarea de
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Pattern Mining for Named Entity Recognition [PDF]
, 2011 Revised selected paper of the LTC'2011 conferenceInternational audienceMany evaluation campaigns have shown that knowledge-based and data-driven approaches remain equally competitive for Named Entity Recognition.
Antoine, Jean-Yves +2 more
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Chinese Overlapping Named Entity Recognition Method Based on Label Clustering [PDF]
Jisuanji gongcheng, 2020 To address complex nested relations between named entities and overlapping boundaries of adjacent named entities caused by mislabeling in corpus,this paper proposes a method of Chinese overlapping Named Entity Recognition(NER).First,a hierarchical ...
WEN Xiuxiu, MA Chao, GAO Yuanyuan, KANG Zilu
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Neural Architectures for Named Entity Recognition [PDF]
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016 State-of-the-art named entity recognition systems rely heavily on hand-crafted features and domain-specific knowledge in order to learn effectively from the small, supervised training corpora that are available. In this paper, we introduce two new neural architectures---one based on bidirectional LSTMs and conditional random fields, and the other that ...
Lample, Guillaume +4 more
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Biomedical Flat and Nested Named Entity Recognition: Methods, Challenges, and Advances
Applied SciencesBiomedical named entity recognition (BioNER) aims to identify and classify biomedical entities (i.e., diseases, chemicals, and genes) from text into predefined classes. This process serves as an important initial step in extracting biomedical information
Yesol Park, Gyujin Son, Mina Rho
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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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Neural Reranking for Named Entity Recognition
, 2017 We propose a neural reranking system for named entity recognition (NER). The basic idea is to leverage recurrent neural network models to learn sentence-level patterns that involve named entity mentions.
Dong, Fei, Yang, Jie, Zhang, Yue
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