People

Christoph Alt

Computer Science

HU Berlin

   

Photo: SCIoI

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Christoph Alt

Christoph Alt

Photo: SCIoI

Christoph Alt worked as a postdoctoral researcher at Humboldt University of Berlin and part of the Cluster Science of Intelligence. He received his Bachelor’s degree in Electrical Engineering from the University of Applied Sciences Munich and his Master’s degree in Computer Engineering from the Technical University of Berlin. For his doctoral degree in Computer Science at Technical University of Berlin and the German Research Center for AI (DFKI), he studied the generalizability and data efficiency of neural-network-based natural language processing (NLP) approaches, in particular, how to learn from limited amounts of labeled data and transfer linguistic knowledge between related NLP tasks.


Projects

Christoph Alt is member of Project A2, Project 44.


Harbecke, D., Chen, Y., Hennig, L., & Alt, C. (2022). Why only Micro-F1? Class Weighting of Measures for Relation Classification. Proceedings of the 1st Workshop on Efficient Benchmarking in NLP. https://doi.org/10.18653/v1/2022.nlppower-1.4
Chen, Y., Mikkelsen, J., Binder, A., Alt, C., & Hennig, L. (2022). A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition. Proceedings of the 7th Workshop on Representation Learning for NLP. https://doi.org/10.18653/v1/2022.repl4nlp-1.6
Weber, L., Sänger, M., Garda, S., Barth, F., Alt, C., & Leser, U. (2021). Humboldt@ DrugProt: Chemical-Protein Relation Extraction with Pretrained Transformers and Entity Descriptions. Proceedings of the BioCreative VII challenge evaluation workshop. https://biocreative.bioinformatics.udel.edu/media/store/files/2021/Track1_pos_2_BC7_submission_172.pdf

Research

An overview of our scientific work

See our Research Projects