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ORCIDSumam Francis
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2020 – today
- 2023
[j2]Sumam Francis
, Marie-Francine Moens:
Investigating better context representations for generative question answering. Inf. Retr. J. 26(1): 7 (2023)- [c5]Kanimozhi Uma, Sumam Francis, Marie-Francine Moens:
Masking Language Model Mechanism with Event-Driven Knowledge Graphs for Temporal Relations Extraction from Clinical Narratives. COMPLEX NETWORKS (1) 2023: 162-174 - [c4]Sumam Francis, Kanimozhi Uma, Marie-Francine Moens:
Understanding the Impact of Label Skewness and Optimization on Federated Learning for Text Classification. WWW (Companion Volume) 2023: 1161-1166 - [i2]Sumam Francis, Marie-Francine Moens:
Injecting Categorical Labels and Syntactic Information into Biomedical NER. CoRR abs/2311.03113 (2023) - [i1]Sumam Francis, Marie-Francine Moens:
Text Augmentations with R-drop for Classification of Tweets Self Reporting Covid-19. CoRR abs/2311.03420 (2023) - 2022
- [c3]Sumam Francis, Marie-Francine Moens:
KUL@SMM4H'22: Template Augmented Adaptive Pre-training for Tweet Classification. SMM4H@COLING 2022: 153-155 - [c2]Sumam Francis, Marie-Francine Moens:
Task-Aware Contrastive Pre-training for Spanish Named Entity Recognition in LivingNER Challenge. IberLEF@SEPLN 2022
2010 – 2019
- 2019
- [j1]Sumam Francis, Jordy Van Landeghem, Marie-Francine Moens:
Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents. Inf. 10(8): 248 (2019) - 2018
- [c1]Syed Saqib Bukhari, Sumam Francis, Cannannore Nidhi Narayana Kamath, Andreas Dengel:
An Investigative Analysis of Different LSTM Libraries for Supervised and Unsupervised Architectures of OCR Training. ICFHR 2018: 447-452
Coauthor Index
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