no code implementations • 16 Apr 2024 • Wiam Adnan, Joel Tang, Yassine Bel Khayat Zouggari, Seif Edinne Laatiri, Laurent Lam, Fabien Caspani
Document Understanding is an evolving field in Natural Language Processing (NLP).
1 code implementation • 28 Apr 2023 • Seif Laatiri, Pirashanth Ratnamogan, Joel Tang, Laurent Lam, William Vanhuffel, Fabien Caspani
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.
no code implementations • 21 Apr 2023 • Laurent Lam, Pirashanth Ratnamogan, Joël Tang, William Vanhuffel, Fabien Caspani
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.
no code implementations • SEMEVAL 2020 • Fabien Caspani, Pirashanth Ratnamogan, Mathis Linger, Mhamed Hajaiej
Our systems respectively achieve 0. 830 and 0. 994 F1-scores on the official test set, and we believe that the insights derived from our study are potentially relevant to help advance the research on definition extraction.