Segui
Linh Le
Linh Le
University of Queensland, University of Technology Sydney, HPI Potsdam
Email verificata su uq.edu.au
Titolo
Citata da
Citata da
Anno
Transformers-based information extraction with limited data for domain-specific business documents
MT Nguyen, DT Le, L Le
Engineering Applications of Artificial Intelligence 97, 104100, 2021
452021
Transfer learning for information extraction with limited data
MT Nguyen, VA Phan, LT Linh, NH Son, LT Dung, M Hirano, H Hotta
Computational Linguistics: 16th International Conference of the Pacific …, 2020
212020
Loss-based active learning for named entity recognition
L Le, MT Nguyen, G Zuccon, G Demartini
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
132021
AURORA: An Information Extraction System of Domain-specific Business Documents with Limited Data
MT Nguyen, DT Le, DHT Le Thai Linh, BCM Duong, NH Son, NH Phong, ...
CIKM2020, 0
8*
Active learning with feature matching for clinical named entity recognition
L Le, G Demartini, G Zuccon, G Zhao, X Zhang
Natural Language Processing Journal 4, 100015, 2023
62023
Understanding transformers for information extraction with limited data
MT Nguyen, DT Le, NH Son, BC Minh
Proceedings of the 34th Pacific Asia Conference on Language, Information and …, 2020
62020
Information extraction of domain-specific business documents with limited data
MT Nguyen, DT Le, NH Son, BC Minh, A Shojiguchi
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
52021
Sentence compression as deletion with contextual embeddings
MT Nguyen, CM Bui, DT Le, TL Le
International conference on computational collective intelligence, 427-440, 2020
52020
Gain more with less: Extracting information from business documents with small data
MT Nguyen, NH Son, L Linh
Expert Systems with Applications 215, 119274, 2023
42023
EEG-SM: Leveraging State-Space Model for Dementia Detection
T Tran, QT Nguyen, L Le, T Do, CT Lin
International Joint Conferences on Artificial Intelligence (IJCAI), 2024
22024
Colal: Co-learning active learning for text classification
L Le, G Zhao, X Zhang, G Zuccon, G Demartini
Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13337 …, 2024
22024
FairAD-XAI: Evaluation Framework for Explainable AI Methods in Alzheimer's Disease Detection with Fairness-in-the-loop
QT Nguyen, L Le, XT Tran, T Do, CT Lin
Companion of the 2024 on ACM International Joint Conference on Pervasive and …, 2024
12024
Leveraging Semantic Type Dependencies for Medical Named Entity Recognition
L Le, G Zuccon, G Demartini, G Zhao, X Zhang
AMIA Annual Symposium 2022, 2022
12022
Representation Engineering for Large-Language Models: Survey and Research Challenges
L Bartoszcze, S Munshi, B Sukidi, J Yen, Z Yang, D Williams-King, L Le, ...
arXiv preprint arXiv:2502.17601, 2025
2025
EEG-Based Contrastive Learning Models For Object Perception Using Multisensory Image-Audio Stimuli
L Le, T Do, CT Lin
BCIMM’24 2000, 39, 2024
2024
Can Safety Fine-Tuning Be More Principled? Lessons Learned from Cybersecurity
D Williams-King, L Le, Y Bengio
NeurIPS, 2024
2024
Stochastic Featurization for Active Learning
L Le, T Nguyen, G Zhao, Z Xia, G Zuccon, G Demartini
Trustworthy Artificial Intelligence for Healthcare: TAI4H, IJCAI 2024, Jeju …, 2024
2024
MELArt: A Multimodal Entity Linking Dataset for Art
A Sierra-Múnera, L Le, G Demartini, R Krestel
Transactions on Graph Data and Knowledge 2 (2), 8: 1-8: 22, 2024
2024
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