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Found 4 papers, 1 papers with code
Information Redundancy and Biases in Public Document Information Extraction Benchmarks
Advances in the Visually-rich Document Understanding (VrDU) field and particularly the Key-Information Extraction (KIE) task are marked with the emergence of efficient Transformer-based approaches such as the LayoutLM models.
Information Extraction from Documents: Question Answering vs Token Classification in real-world setups
Our research showed that when dealing with clean and relatively short entities, it is still best to use token classification-based approach, while the QA approach could be a good alternative for noisy environment or long entities use-cases.
Robust Domain Adaptation for Pre-trained Multilingual Neural Machine Translation Models
In this context, we decided to focus on a new task: Domain Adaptation of a pre-trained mNMT model on a single pair of language while trying to maintain model quality on generic domain data for all language pairs.
Information Extraction from Visually Rich Documents with Font Style Embeddings
Information extraction (IE) from documents is an intensive area of research with a large set of industrial applications.
