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cs.CL2024
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…
cs.CL2023
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…
cs.CL2021
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…