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Samuel A. Mensah
Samuel A. Mensah
NLP Research Associate, University of Sheffield
Verified email at sheffield.ac.uk - Homepage
Title
Cited by
Cited by
Year
Aspect-level sentiment analysis via convolution over dependency tree
K Sun, R Zhang, S Mensah, Y Mao, X Liu
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
4262019
Relation extraction with convolutional network over learnable syntax-transport graph
K Sun, R Zhang, Y Mao, S Mensah, X Liu
Proceedings of the AAAI conference on artificial intelligence 34 (05), 8928-8935, 2020
552020
Replicate, walk, and stop on syntax: an effective neural network model for aspect-level sentiment classification
Y Zheng, R Zhang, S Mensah, Y Mao
Proceedings of the AAAI conference on artificial intelligence 34 (05), 9685-9692, 2020
502020
Unsupervised sentence representation via contrastive learning with mixing negatives
Y Zhang, R Zhang, S Mensah, X Liu, Y Mao
Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11730 …, 2022
472022
Progressive multi-task learning with controlled information flow for joint entity and relation extraction
K Sun, R Zhang, S Mensah, Y Mao, X Liu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13851 …, 2021
422021
Recurrent interaction network for jointly extracting entities and classifying relations
K Sun, R Zhang, S Mensah, Y Mao, X Liu
arXiv preprint arXiv:2005.00162, 2020
332020
An empirical study on leveraging position embeddings for target-oriented opinion words extraction
S Mensah, K Sun, N Aletras
arXiv preprint arXiv:2109.01238, 2021
202021
Collaborative filtering grounded on knowledge graphs
Y Chen, S Mensah, F Ma, H Wang, Z Jiang
Pattern Recognition Letters 151, 55-61, 2021
132021
Pairwise link prediction model for out of vocabulary knowledge base entities
R Zhang, S Mensah, F Kong, Z Hu, Y Mao, X Liu
ACM Transactions on Information Systems (TOIS) 38 (4), 1-28, 2020
112020
Aspect-level sentiment analysis via a syntax-based neural network
R Zhang, Q Chen, Y Zheng, S Mensah, Y Mao
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2568-2583, 2022
102022
Dropmix: A textual data augmentation combining dropout with mixup
F Kong, R Zhang, X Guo, S Mensah, Y Mao
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
82022
A hierarchical n-gram framework for zero-shot link prediction
M Li, J Chen, S Mensah, N Aletras, X Yang, Y Ye
arXiv preprint arXiv:2204.10293, 2022
72022
A transformational biencoder with in-domain negative sampling for zero-shot entity linking
K Sun, R Zhang, S Mensah, Y Mao, X Liu
Findings of the Association for Computational Linguistics: ACL 2022, 1449-1458, 2022
72022
Anchored model transfer and soft instance transfer for cross-task cross-domain learning: A study through aspect-level sentiment classification
Y Zheng, R Zhang, S Wang, S Mensah, Y Mao
Proceedings of The Web Conference 2020, 2754-2760, 2020
72020
A neural bag-of-words modelling framework for link prediction in knowledge bases with sparse connectivity
F Kong, R Zhang, H Guo, S Mensah, Z Hu, Y Mao
The World Wide Web Conference, 2929-2935, 2019
72019
Classification-oriented dawid skene model for transferring intelligence from crowds to machines
J Li, R Zhang, S Mensah, W Qin, C Hu
Frontiers of Computer Science 17 (5), 175332, 2023
52023
Learning implicit and explicit multi-task interactions for information extraction
K Sun, R Zhang, S Mensah, Y Mao, X Liu
ACM Transactions on Information Systems 41 (2), 1-29, 2023
52023
Explicit role interaction network for event argument extraction
N Ding, C Hu, K Sun, S Mensah, R Zhang
Findings of the Association for Computational Linguistics: EMNLP 2022, 3475-3485, 2022
52022
Is There a Permanent Campaign for Online Political Advertising? Investigating Partisan and Non-Party Campaign Activity in the UK between 2018–2021
K Dommett, SA Mensah, J Zhu, T Stafford, N Aletras
Journal of Political Marketing, 1-19, 2023
32023
Contrastive learning with expectation-maximization for weakly supervised phrase grounding
K Chen, R Zhang, S Mensah, Y Mao
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
32022
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