AI Assistant for Process Plant Operations

AI-based Decision Assistant for Process Plant Operations (ADAPPO or Plant Assistant in short) is an applied research project conducted as a collaboration between GippLab and eschbach GmbH funded by ZIM (Zentrales Innovationsprogramm Mittelstand) run by the German Ministry of Economic Affairs and Climate Action.
NLP-driven Plant Assistant aims at creating a tool that supports plant operators at their daily operations on a industrial processing plant. The Plant Assistant aggregates knowledge and experience from logged plant operations and provides fast, efficient, and interactive feedback when users need solutions to encountered problems. A goal of the project is to leverage the recent advances in NLP to tailor language models towards domain-specific text data of multiple languages with uneven data quality, data scarcity, and lack of annotated sources.
Plant Assistant involves the following NLP research and tasks:
- Domain adaptation of language models
- Down-stream models in low resource setup
- Semantic document similarity
- Semantic information retrieval
- Information extraction
- Text classification
- Coreference resolution
- Self-adapted clustering
- Text summarization
- Text time series analysis

Check out our ongoing projects that are available as B.Sc./M.Sc. theses here.