BOOK-CHAPTER
CNN-BiLSTM-CRF Model for Term Extraction in Chinese Corpus
Year: 2018 Lecture notes in computer science Pages: 267-274 Publisher: Springer Science+Business Media
Keywords:
Computer science Artificial intelligence Term (time) Task (project management) Sequence labeling Segmentation Extraction (chemistry) Text segmentation Word (group theory) Artificial neural network Natural language processing Stability (learning theory) Feature extraction Pattern recognition (psychology) Speech recognition Machine learning Linguistics
Metrics
11
Cited By
1.45
FWCI (Field Weighted Citation Impact)
13
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Natural Language Processing Techniques
Physical Sciences → Computer Science → Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences → Computer Science → Artificial Intelligence
Topic Modeling
Physical Sciences → Computer Science → Artificial Intelligence
Related Documents
JOURNAL ARTICLE
Aspect Term Extraction Based on BiLSTM-CRF Model
Jiazhao ChaiWenqian ShangJianxiang Cao
Year: 2022 Pages: 205-211
BOOK-CHAPTER
A Method of Chinese Named Entity Recognition Based on CNN-BILSTM-CRF Model
Communications in computer and information science Year: 2018 Pages: 161-175
JOURNAL ARTICLE
Event Recognition in Chinese Emergencies Corpus Using ALBERT-BiLSTM-CRF
Bo WangWei WeiYang WuXuefeng WangCaiwei Liu
Journal: 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) Year: 2020 Vol: 9 Pages: 392-397
JOURNAL ARTICLE
An Extraction Model Based on RoBERTa-BiLSTM-CRF for Chinese Financial Event
Dagao DuanWenwen LiuZhongming Han
Year: 2021 Pages: 480-486