Michael Spranger

2021

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Automatically Identifying Online Grooming Chats Using CNN-based Feature Extraction
Svenja Preuß | Luna Pia Bley | Tabea Bayha | Vivien Dehne | Alessa Jordan | Sophie Reimann | Fina Roberto | Josephine Romy Zahm | Hanna Siewerts | Dirk Labudde | Michael Spranger
Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)

2017

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External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway
Wojciech Kusa | Michael Spranger
BioNLP 2017

This paper evaluates the impact of various event extraction systems on automatic pathway curation using the popular mTOR pathway. We quantify the impact of training data sets as well as different machine learning classifiers and show that some improve the quality of automatically extracted pathways.

2016

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Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
Michael Spranger | Sucheendra Palaniappan | Samik Gosh
Proceedings of the 15th Workshop on Biomedical Natural Language Processing

2015

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Extracting Biological Pathway Models From NLP Event Representations
Michael Spranger | Sucheendra Palaniappan | Samik Ghosh
Proceedings of BioNLP 15

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