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个人简介
Betty started working at the DATEXIS team as a Research Assistant in 2018.
She graduated with a Master's degree in Media Informatics from the Beuth University of Applied Sciences in Berlin in 2017. During and after her studies she used to work as a Software Engineer. One of her focuses and the research topic of her master's thesis was the development of chatbot applications.
At DATEXIS Betty worked on the project NOHATE, funded by the Federal Ministry of Education and Research. The project aims included to develop solutions for the detection of Hatespeech in online discussions with the help of Deep Learning techniques.
Betty's current research focuses on NLP for the medical domain. Specifically she wants to find out how to use patient information in clinical notes to improve decision support systems for medical professionals. In this regard, she wants to build explainable systems that leverage publicly available medical data.
She graduated with a Master's degree in Media Informatics from the Beuth University of Applied Sciences in Berlin in 2017. During and after her studies she used to work as a Software Engineer. One of her focuses and the research topic of her master's thesis was the development of chatbot applications.
At DATEXIS Betty worked on the project NOHATE, funded by the Federal Ministry of Education and Research. The project aims included to develop solutions for the detection of Hatespeech in online discussions with the help of Deep Learning techniques.
Betty's current research focuses on NLP for the medical domain. Specifically she wants to find out how to use patient information in clinical notes to improve decision support systems for medical professionals. In this regard, she wants to build explainable systems that leverage publicly available medical data.
研究兴趣
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TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (2023): 826-860
Dagstuhl Reportsno. 6 (2022): 14-27
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International Conference on Language Resources and Evaluation (LREC)pp.900-909, (2022)
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