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Sooji Han
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2020 – today
- 2025
- [j2]Rui Mao, Mengshi Ge, Sooji Han, Wei Li, Kai He, Luyao Zhu, Erik Cambria:
A survey on pragmatic processing techniques. Inf. Fusion 114: 102712 (2025) - 2024
- [j1]Qian Liu, Sooji Han, Erik Cambria, Yang Li, Kenneth Kwok:
PrimeNet: A Framework for Commonsense Knowledge Representation and Reasoning Based on Conceptual Primitives. Cogn. Comput. 16(6): 3429-3456 (2024) - 2022
- [c5]Sooji Han, Rui Mao, Erik Cambria:
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. COLING 2022: 94-104 - [c4]Erik Cambria, Rui Mao, Sooji Han, Qian Liu:
Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis. ICDM (Workshops) 2022: 1-8 - [i3]Sooji Han, Rui Mao, Erik Cambria:
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. CoRR abs/2209.07494 (2022) - 2020
- [b1]Sooji Han:
Context-aware message-level rumour detection with weak supervision. University of Sheffield, UK, 2020 - [c3]Jie Gao, Sooji Han, Xingyi Song, Fabio Ciravegna:
RP-DNN: A Tweet Level Propagation Context Based Deep Neural Networks for Early Rumor Detection in Social Media. LREC 2020: 6094-6105 - [i2]Jie Gao, Sooji Han, Xingyi Song, Fabio Ciravegna:
RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media. CoRR abs/2002.12683 (2020)
2010 – 2019
- 2019
- [c2]Sooji Han, Jie Gao, Fabio Ciravegna:
Neural language model based training data augmentation for weakly supervised early rumor detection. ASONAM 2019: 105-112 - [c1]Sooji Han, Fabio Ciravegna:
Rumour Detection on Social Media for Crisis Management. ISCRAM 2019 - [i1]Sooji Han, Jie Gao, Fabio Ciravegna:
Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection. CoRR abs/1907.07033 (2019)
Coauthor Index
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