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Combining Embeddings and Domain Knowledge for Job Posting Duplicate Detection
Job descriptions are posted on many online channels, including company websites, job boards or social media platforms.
Fine-tuning and aligning question answering models for complex information extraction tasks
The emergence of Large Language Models (LLMs) has boosted performance and possibilities in various NLP tasks.
Combining Deep Learning and Reasoning for Address Detection in Unstructured Text Documents
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, like it is the case for multi-column documents or nested tables.
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