Papers by Lasse Borgholt
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records (2024.emnlp-main)
Copied to clipboard
| Challenge: | State-of-the-art explainability methods rely on human annotations, which are costly. |
| Approach: | They propose an approach to produce plausible and faithful explanations without annotations . they use adversarial robustness training to improve plausibility and AttInGrad . |
| Outcome: | The proposed method produces plausible explanations without human annotations on a medical coding task. |
MultiQT: Multimodal learning for real-time question tracking in speech (2020.acl-main)
Copied to clipboard
Jakob D. Havtorn, Jan Latko, Joakim Edin, Lars Maaløe, Lasse Borgholt, Lorenzo Belgrano, Nicolai Jacobsen, Regitze Sdun, Željko Agić
| Challenge: | a novel multimodal approach to real-time sequence labeling in speech is proposed . the model treats speech and its own textual representation as two separate modalities . |
| Approach: | They propose a multimodal approach to real-time sequence labeling in speech . they use audio and transcription to jointly learn from a phone call . results show similar pattern of improvements with multimodal learning . |
| Outcome: | The proposed model shows significant gains under adverse noise and limited training data compared to text or audio only under adverse conditions and generalizes to medical symptoms detection. |