Search Results for author:
Found 5 papers, 0 papers with code
Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing
Our results show that the model effectively leverages task similarity to improve the robustness to dataset shift.
Extracting Biomedical Entities from Noisy Audio Transcripts
Our dataset offers a comprehensive collection of almost 2, 000 clean and noisy recordings.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction
Our model outperforms baselines in IE and IR tasks, respectively by micro-f score of 0. 08 (LCA-F score of 0. 05), and MAP of 0. 05 on average.
A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic
We present a case study on a novel dataset that is based on COVID-19 papers published and manually indexed in PubMed.
Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model
A great number of computer vision publications have focused on distinguishing between human action recognition and classification rather than the intensity of actions performed.
