Natural Language Processing
5 talks from the 2022 edition.
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deepdoctection - An open source package for document intelligence ▶ Recording 📝 Transcript
Janis Meyer
Extracting information from business documents is difficult. They often have a complex visual structure and the information they contain is not tagged. Let me introduce deepdoctection: A tool box that is intended to...
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Efficient data labelling with weak supervision ▶ Recording 📝 Transcript
Maria Mestre
Data labelling is often considered a separate task that takes place before the real "machine learning work" happens, similar to waterfall software engineering practices. However this is typically a wrong approach...
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Performing Content: Can NLP and Deep Learning algorithms predict reader preferences?
Sebastian Cattes
Can we predict a reader's engagement time before publishing an article? This talk presents a use case performed together with a regional German newspaper that analyses to what extent user engagement can be understood...
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Transformer based clustering: Identifying product clusters for E-commerce
Sebastian Wanner, Christopher Lennan
In this talk we will be presenting a case-study of how we used two open source libraries, Sentence-Transformers and Facebook Faiss, to successfully cluster offers at idealo.de based on text data. Clustering text data...
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XAI meets Natural Language Processing ▶ Recording 📝 Transcript
Larissa Haas
The idea of Explainable AI (XAI) gets more and more attention, as customers and users want to understand AI models and the reason behind predictions. But it is difficult to apply "traditional" XAI approaches out of...