Papers by Rebecca Thomas
MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation (D19-3)
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| Challenge: | 80% of biomedical data is stored in unstructured text such as electronic health records (EHRs). |
| Approach: | They propose a web-based interface for building, improving and customising a given Named Entity Recognition and Linking (NER+L) model for biomedical domain text. |
| Outcome: | The proposed interface is designed to build, improve and customise a NER+L model for biomedical domain text and collate accurate research use case specific training data. |
Competence-Level Prediction and Resume & Job Description Matching Using Context-Aware Transformer Models (2020.emnlp-main)
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| Challenge: | a new method for resume classification reduces the time and labor needed to screen applications . the current method of screening applications involves reviewing individual resumes via string/regex matching . |
| Approach: | They propose to use transformer-based resume classification to reduce time and labor needed to screen applications. |
| Outcome: | The proposed models reduce time and labor needed to screen applications while improving the selection of suitable candidates. |