| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comprehensive review on resolving ambiguities in natural language processing
|
Yadav, Apurwa
|
|
|
2 |
C |
p. 85-92
|
artikel
|
| 2 |
A comprehensive survey of entity alignment for knowledge graphs
|
Zeng, Kaisheng
|
|
|
2 |
C |
p. 1-13
|
artikel
|
| 3 |
Advances and challenges in conversational recommender systems: A survey
|
Gao, Chongming
|
|
|
2 |
C |
p. 100-126
|
artikel
|
| 4 |
A review of deep learning in question answering over knowledge bases
|
Zhang, Chen
|
|
|
2 |
C |
p. 205-215
|
artikel
|
| 5 |
CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models
|
Su, Yusheng
|
|
|
2 |
C |
p. 127-134
|
artikel
|
| 6 |
CPM: A large-scale generative Chinese Pre-trained language model
|
Zhang, Zhengyan
|
|
|
2 |
C |
p. 93-99
|
artikel
|
| 7 |
CPM-2: Large-scale cost-effective pre-trained language models
|
Zhang, Zhengyan
|
|
|
2 |
C |
p. 216-224
|
artikel
|
| 8 |
Discrete and continuous representations and processing in deep learning: Looking forward
|
Cartuyvels, Ruben
|
|
|
2 |
C |
p. 143-159
|
artikel
|
| 9 |
Heterogeneous graph knowledge enhanced stock market prediction
|
Xiong, Kai
|
|
|
2 |
C |
p. 168-174
|
artikel
|
| 10 |
Incorporating bidirectional interactive information and regional features for relational facts extraction
|
Zhu, Bingshan
|
|
|
2 |
C |
p. 175-185
|
artikel
|
| 11 |
Know what you don't need: Single-Shot Meta-Pruning for attention heads
|
Zhang, Zhengyan
|
|
|
2 |
C |
p. 36-42
|
artikel
|
| 12 |
Lawformer: A pre-trained language model for Chinese legal long documents
|
Xiao, Chaojun
|
|
|
2 |
C |
p. 79-84
|
artikel
|
| 13 |
Network representation learning: A macro and micro view
|
Liu, Xueyi
|
|
|
2 |
C |
p. 43-64
|
artikel
|
| 14 |
Neural, symbolic and neural-symbolic reasoning on knowledge graphs
|
Zhang, Jing
|
|
|
2 |
C |
p. 14-35
|
artikel
|
| 15 |
Pre-trained models: Past, present and future
|
Han, Xu
|
|
|
2 |
C |
p. 225-250
|
artikel
|
| 16 |
Robustness of deep learning models on graphs: A survey
|
Xu, Jiarong
|
|
|
2 |
C |
p. 69-78
|
artikel
|
| 17 |
Rule-based data augmentation for knowledge graph embedding
|
Li, Guangyao
|
|
|
2 |
C |
p. 186-196
|
artikel
|
| 18 |
Structure-enhanced meta-learning for few-shot graph classification
|
Jiang, Shunyu
|
|
|
2 |
C |
p. 160-167
|
artikel
|
| 19 |
The information propagation model of Weibo network based on spiking neural P systems
|
Zhang, Tiancui
|
|
|
2 |
C |
p. 135-142
|
artikel
|
| 20 |
Towards a universal continuous knowledge base
|
Chen, Gang
|
|
|
2 |
C |
p. 197-204
|
artikel
|
| 21 |
WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models
|
Yuan, Sha
|
|
|
2 |
C |
p. 65-68
|
artikel
|
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