7 papers
Combining Embeddings and Domain Knowledge for Job Posting Duplicate Detection
Matthias Engelbach, Dennis Klau, Maximilien Kintz +1
Job descriptions are posted on many online channels, including company websites, job boards or social media platforms. These descriptions are usually published with varying text fo…
Fine-tuning and aligning question answering models for complex information extraction tasks
Matthias Engelbach, Dennis Klau, Felix Scheerer +2
The emergence of Large Language Models (LLMs) has boosted performance and possibilities in various NLP tasks. While the usage of generative AI models like ChatGPT opens up new oppo…
Combining Deep Learning and Reasoning for Address Detection in Unstructured Text Documents
Matthias Engelbach, Dennis Klau, Jens Drawehn +1
Extracting information from unstructured text documents is a demanding task, since these documents can have a broad variety of different layouts and a non-trivial reading order, li…
Evaluation of Representation Models for Text Classification with AutoML Tools
Sebastian Brändle, Marc Hanussek, Matthias Blohm +1
Automated Machine Learning (AutoML) has gained increasing success on tabular data in recent years. However, processing unstructured data like text is a challenge and not widely sup…
VitrAI -- Applying Explainable AI in the Real World
Marc Hanussek, Falko Kötter, Maximilien Kintz +1
With recent progress in the field of Explainable Artificial Intelligence (XAI) and increasing use in practice, the need for an evaluation of different XAI methods and their explana…
Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance
Matthias Blohm, Marc Hanussek, Maximilien Kintz
Recently, Automated Machine Learning (AutoML) has registered increasing success with respect to tabular data. However, the question arises whether AutoML can also be applied effect…
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark
Marc Hanussek, Matthias Blohm, Maximilien Kintz
In the last few years, Automated Machine Learning (AutoML) has gained much attention. With that said, the question arises whether AutoML can outperform results achieved by human da…