Mario Sänger
Humboldt-Universität zu Berlin(DE)AstraZeneca (Spain)(ES)
Publications by Year
Research Areas
Topic Modeling, Biomedical Text Mining and Ontologies, Natural Language Processing Techniques, Sentiment Analysis and Opinion Mining, Advanced Data Storage Technologies
Most-Cited Works
- → Annotation and initial evaluation of a large annotated German oncological corpus(2021)38 cited
- → Chemical–protein relation extraction with ensembles of carefully tuned pretrained language models(2022)15 cited
- → HunFlair2 in a cross-corpus evaluation of biomedical named entity recognition and normalization tools(2024)14 cited
- SCARE ― The Sentiment Corpus of App Reviews with Fine-grained Annotations in German.(2016)
- → BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing(2022)12 cited
- Classifying German Animal Experiment Summaries with Multi-lingual BERT at CLEF eHealth 2019 Task 1.(2019)
- → Large-scale entity representation learning for biomedical relationship extraction(2020)11 cited
- → WBI at MEDIQA 2021: Summarizing Consumer Health Questions with Generative Transformers(2021)10 cited
- WBI at CLEF eHealth 2018 Task 1: Language-independent ICD-10 Coding using Multi-lingual Embeddings and Recurrent Neural Networks.(2018)
- → A qualitative assessment of using ChatGPT as large language model for scientific workflow development(2024)8 cited