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5th CCKS 2020: Nanchang, China
- Huajun Chen, Kang Liu, Yizhou Sun, Suge Wang, Lei Hou:
Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence - 5th China Conference, CCKS 2020, Nanchang, China, November 12-15, 2020, Revised Selected Papers. Communications in Computer and Information Science 1356, Springer 2021, ISBN 978-981-16-1963-2
Knowledge Extraction: Lexical and Entity
- Zelong Yan, Jianzong Wang, Ning Cheng, Tianbo Wu, Jing Xiao:
Chinese Punctuation Prediction with Adaptive Attention and Dependency Tree. 3-14 - Baoju Liu, Xuejun Shang, Liqing Liu, Yuanpeng Tan, Lei Hou
, Juanzi Li:
Sememe Tree Prediction for English-Chinese Word Pairs. 15-27 - Zhenyu Xuan, Rui Bao, Shengyi Jiang:
FGN: Fusion Glyph Network for Chinese Named Entity Recognition. 28-40 - Yunke Zhang, Long Yu, Zhanfeng Liu:
Semantic Label Enhanced Named Entity Recognition with Incompletely Annotated Data. 41-53 - Yuanyuan Liu, Xiang Li, Jiaxin Shi, Lei Zhang, Juanzi Li:
Named Entity Recognition Using a Semi-supervised Model Based on BERT and Bootstrapping. 54-63 - Lingyong Yan, Xianpei Han, Le Sun:
Reinforcement Learning for Clue Selection in Web-Based Entity Translation Mining. 64-77 - Renshou Wu, Qingliang Miao, Miaoyuan Shi, Min Chu, Kai Yu:
Neural Fusion Model for Chinese Semantic Matching. 78-90
Knowledge Extraction: Relation
- Zhandong Zhu, Jindian Su, Xiaobin Hong:
Improving Relation Extraction Using Semantic Role and Multi-task Learning. 93-105 - Lishuang Li, Hongbin Lu, Shuang Qian, Shiyi Zhao, Yifan Zhu:
Learning Global Representations for Document-Level Biomedical Relation Extraction. 106-118 - Qinghua Wen, Yunzhe Tian, Xiaohui Zhang, Ruoyun Hu, Jinsong Wang
Type-Aware Open Information Extraction via Graph Augmentation Model. 119-131 - Lu Mao, Meiling Wang, Changliang Li, Junfeng Fan, Changyu Hou:
IBRE: An Incremental Bootstrapping Approach for Chinese Appointment and Dismissal Relation Extraction. 132-144
Knowledge Extraction: Event
- Xiaobo Ma, Yongbin Liu, Chunping Ouyang:
Hybrid Syntactic Graph Convolutional Networks for Chinese Event Detection. 147-159 - Hang Yang, Yubo Chen, Kang Liu, Jun Zhao:
Meta Learning for Event Argument Extraction via Domain-Specific Information Enhanced. 160-172 - Ya Liu, Jiachen Tian, Lan Zhang, Yibo Feng, Hong Fang:
A Survey on Event Relation Identification. 173-184 - Liumin Zhang, Peifeng Li, Zhong Qian
Employing Multi-cues to Identify Event Factuality. 185-195 - Jinjuan Cao, Zhong Qian
End-to-End Event Factuality Identification via Hybrid Neural Networks. 196-208
Knowledge Applications: Question Answering, Dialogue, Decision Support, and Recommendation
- Yuxuan Fan, Wenbo Hu, Wencheng Huang, Zhichun Wang:
On Building a Knowledge Graph of Open Courses. 211-224 - Peiyun Wu, Xiaowang Zhang
Improving Question Answering over Knowledge Base with External Linguistic Knowledge. 225-236 - Wenji Zhou, Tingting He, Miao Zhang
Effectively Incorporating Knowledge in Open-Domain Dialogue Generation. 237-249 - Yong Guan, Ru Li, Shaoru Guo:
What Linguistic Information Does Reading Comprehension Require? 250-260 - Shuyi Wang, Hui Song, Bo Xu, Hongkuan Zhang:
Enhancing Embedding via Two-Level Features for Machine Reading Comprehension. 261-273 - Kunli Zhang, Xu Zhao, Lei Zhuang, Hongying Zan, Qi Xie:
Obstetric Diagnosis Assistant via Knowledge Powered Attention and Information-Enhanced Strategy. 274-286 - Yakun Wang
Emotion Role Identification in Social Network. 287-298 - Jiaying Tang, Hongying Jin, Daling Wang, Shi Feng, Yifei Zhang:
Academic Field and Future Influence Prediction for Scholar Profile Construction. 299-311 - Dandan Song, Cuimei Peng, Huan Yang, Lejian Liao:
Exploiting Knowledge Embedding to Improve the Description for Image Captioning. 312-321 - Bo Wen, Shumin Deng, Huajun Chen:
Knowledge-Enhanced Collaborative Meta Learner for Long-Tail Recommendation. 322-333
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