Pattern Acquisition for Chinese Named Entity Recognition: A Supervised Learning Approach

Advances in Information Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-36077-8_16 ◽

2002 ◽

pp. 166-175

Author(s):

Xiaoshan Fang ◽

Huanye Sheng

Keyword(s):

Supervised Learning ◽

Named Entity Recognition ◽

Entity Recognition ◽

Learning Approach ◽

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External Knowledge-Based Weakly Supervised Learning Approach on Chinese Clinical Named Entity Recognition

Semantic Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-41407-8_22 ◽

2020 ◽

pp. 336-352

Author(s):

Yeheng Duan ◽

Long-Long Ma ◽

Xianpei Han ◽

Le Sun ◽

Bin Dong ◽

...

Keyword(s):

Supervised Learning ◽

Named Entity Recognition ◽

Entity Recognition ◽

Learning Approach ◽

Weakly Supervised Learning ◽

External Knowledge ◽

Named Entity ◽

Knowledge Based ◽

Weakly Supervised

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Named entity recognition: a semi-supervised learning approach

International Journal of Information Technology ◽

10.1007/s41870-020-00470-4 ◽

2020 ◽

Author(s):

H. Sintayehu ◽

G. S. Lehal

Keyword(s):

Supervised Learning ◽

Named Entity Recognition ◽

Entity Recognition ◽

Learning Approach ◽

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Semi-supervised learning approach for Indonesian Named Entity Recognition (NER) using co-training algorithm

2016 International Seminar on Intelligent Technology and Its Applications (ISITIA) ◽

10.1109/isitia.2016.7828624 ◽

2016 ◽

Author(s):

Bayu Aryoyudanta ◽

Teguh Bharata Adji ◽

Indriana Hidayah

Keyword(s):

Supervised Learning ◽

Named Entity Recognition ◽

Entity Recognition ◽

Learning Approach ◽

Training Algorithm ◽

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A Hybrid Approach of Pattern Extraction and Semi-supervised Learning for Vietnamese Named Entity Recognition

Computational Collective Intelligence. Technologies and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-34630-9_9 ◽

2012 ◽

pp. 83-93 ◽

Author(s):

Duc-Thuan Vo ◽

Cheol-Young Ock

Keyword(s):

Supervised Learning ◽

Hybrid Approach ◽

Named Entity Recognition ◽

Entity Recognition ◽

Pattern Extraction ◽

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Named entity chunking techniques in supervised learning for Japanese named entity recognition

10.3115/992730.992748 ◽

2000 ◽

Author(s):

Manabu Sassano ◽

Takehito Utsuro

Keyword(s):

Supervised Learning ◽

Named Entity Recognition ◽

Entity Recognition ◽

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Named Entity Recognition for Vietnamese Documents Using Semi-supervised Learning Method of CRFs with Generalized Expectation Criteria

2012 International Conference on Asian Language Processing ◽

10.1109/ialp.2012.54 ◽

2012 ◽

Author(s):

Thi-Ngan Pham ◽

Le Minh Nguyen ◽

Quang-Thuy Ha

Keyword(s):

Supervised Learning ◽

Named Entity Recognition ◽

Entity Recognition ◽

Learning Method ◽

Named Entity ◽

Generalized Expectation

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A Feature Based Simple Machine Learning Approach with Word Embeddings to Named Entity Recognition on Tweets

Natural Language Processing and Information Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-319-59569-6_30 ◽

2017 ◽

pp. 254-259 ◽

Author(s):

Mete Taşpınar ◽

Murat Can Ganiz ◽

Tankut Acarman

Keyword(s):

Machine Learning ◽

Named Entity Recognition ◽

Entity Recognition ◽

Learning Approach ◽

Word Embeddings ◽

Named Entity ◽

Simple Machine ◽

Machine Learning Approach ◽

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A neural network multi-task learning approach to biomedical named entity recognition

BMC Bioinformatics ◽

10.1186/s12859-017-1776-8 ◽

2017 ◽

Vol 18 (1) ◽

Author(s):

Gamal Crichton ◽

Sampo Pyysalo ◽

Billy Chiu ◽

Anna Korhonen

Keyword(s):

Neural Network ◽

Named Entity Recognition ◽

Entity Recognition ◽

Learning Approach ◽

Named Entity ◽

Task Learning ◽

Biomedical Named Entity Recognition

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Anyuak Language Named Entity Recognition Using Deep Learning Approach

Indian Journal of Science and Technology ◽

10.17485/ijst/v14i39.1163 ◽

2021 ◽

Vol 14 (39) ◽

pp. 2998-3006

Author(s):

Birhanu Gardie ◽

◽

Smegnew Asemie ◽

Kassahun Azezew

Keyword(s):

Deep Learning ◽

Named Entity Recognition ◽

Entity Recognition ◽

Learning Approach ◽

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GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text

Bioinformatics ◽

10.1093/bioinformatics/btx815 ◽

2017 ◽

Vol 34 (9) ◽

pp. 1547-1554 ◽

Author(s):

Qile Zhu ◽

Xiaolin Li ◽

Ana Conesa ◽

Cécile Pereira

Keyword(s):

Deep Learning ◽

Named Entity Recognition ◽

Entity Recognition ◽

Local Context ◽

Learning Approach ◽

Biomedical Text ◽

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