Results 151 to 160 of about 3,831,007 (189)

Chinese Chemical Named Entity Recognition Based on Morpheme

2020 International Conference on Asian Language Processing (IALP), 2020
Named Entity Recognition is one of the most important tasks of natural language processing. The Chinese chemical term has complex structure and flexible combination, which makes recognition more difficult. This paper presents a M-CRF method to improve the effect of NER (Named Entity Recognition) for complex (length>=10) chemical terms by jointly ...
Guirong Wang, Bo Xia, Ye Xiao, Gaoqi Rao, Endong Xun   +4 more
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Exploiting rich features for Chinese named entity recognition

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010
In this paper we design a multiple features template includes basic features, prefixes and suffixed features, dictionary features and combined features for Chinese named entity recognizer CRF model-based. We do a pre-processing procedure such as pos tag, chunk dictionary-based first.
Jianping Shen, Xuan Wang 0002, Shaofeng Li, Lin Yao 0004   +3 more
openaire   +1 more source

Chinese Named Entity Recognition with a Hybrid-Statistical Model

2005
With the rapid growth of the available information on the Internet, it is more difficult for us to find the relevant information quickly on the Web. Named Entity Recognition (NER), one of the key techniques in some web information processing tools such as information retrieval and information extraction, has been paid more and more attention.
Xiaoyan Zhang, Ting Wang 0009, Jintao Tang, Huiping Zhou, Huowang Chen   +4 more
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A Sequence Transformation Model for Chinese Named Entity Recognition

2018
Chinese Named Entity Recognition (NER), as one of basic natural language processing tasks, is still a tough problem due to Chinese polysemy and complexity. In recent years, most of previous works regard NER as a sequence tagging task, including statistical models and deep learning methods.
Qingyue Wang, Yanjing Song, Hao Liu, Yanan Cao 0001, Yanbing Liu 0007, Li Guo 0001   +5 more
openaire   +2 more sources

Morpheme-based chinese nested named entity recognition

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011
Named entity recognition plays an important role in many natural language processing applications. While considerable attention has been pain in the past to research issues related to named entity recognition, few studies have been reported on the recognition of nested named entities.
Chunyuan Fu, Guohong Fu
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Chinese Name Entity Recognition with Label Semantics

2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC), 2023
Qi Shao, Bo Xiao, Qiao Chen, Jun Zhou, Xueqin Xie, Lizhi Jin   +5 more
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Utilizing Chinese Dictionary Information in Named Entity Recognition

2019
Supervised methods are widely used in Chinese named entity recognition (NER). To achieve state-of-the-art performance, NER systems often use additional resources like gazetteer which is a large dictionary containing well known named entities. However, previous works do not consider the situation that the corpus coverage rate of gazetteer is low and the
Yun Hu 0007, Mingxue Liao, Pin Lv, Changwen Zheng   +3 more
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Chinese Named Entity Recognition with CRFs: Two Levels

2008 International Conference on Computational Intelligence and Security, 2008
Named entity recognition (NER) is one of the key techniques in natural language processing tasks such as information extraction, text summarization and so on. Chinese NER is more complicated and difficult than other languages because of its characteristics.
Hongping Hu, Hui Zhang 0028
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Named Entity Recognition for Chinese Healthcare Applications

2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2023
Cheng-Yen Lee, Ming-Hsiang Su, Matús Pleva, Daniel Hládek, Yuan-Fu Liao   +4 more
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Chinese Named Entity Recognition with new contextual features

2008 International Conference on Natural Language Processing and Knowledge Engineering, 2008
Chinese named entity recognition (NER) is studied in two directions: inner structure and outer surroundings. Inner structural analyses induce constitutions of person, location and organization name from the point of linguistics. However inner structural rules for named entities only provide necessary conditions for a sequence of Chinese characters ...
Ying Qin, Taozheng Zhang, Xiaojie Wang 0006   +2 more
openaire   +1 more source