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02/09/2023
Lightweight Transformers for Clinical Natural Language Processing
Specialised pre-trained language models are becoming more frequent in NL...
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10/17/2022
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints
Processing information locked within clinical health records is a challe...
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10/12/2022
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers
Pre-trained Language Models (LMs) have become an integral part of Natura...
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09/07/2022
On the Effectiveness of Compact Biomedical Transformers
Language models pre-trained on biomedical corpora, such as BioBERT, have...
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04/01/2022
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression
This paper outlines the system using which team Nowruz participated in S...
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01/09/2022
Privacy-aware Early Detection of COVID-19 through Adversarial Training
Early detection of COVID-19 is an ongoing area of research that can help...
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02/27/2019
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions
We introduce a new method to tag Multiword Expressions (MWEs) using a li...
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09/09/2018