Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vanhuffel, William"'
Autor:
Laatiri, Seif, Ratnamogan, Pirashanth, Tang, Joel, Lam, Laurent, Vanhuffel, William, Caspani, Fabien
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. Despite the good perform
Externí odkaz:
http://arxiv.org/abs/2304.14936
Research in Document Intelligence and especially in Document Key Information Extraction (DocKIE) has been mainly solved as Token Classification problem. Recent breakthroughs in both natural language processing (NLP) and computer vision helped buildin
Externí odkaz:
http://arxiv.org/abs/2304.10994
Autor:
Grosso, Mathieu, Ratnamogan, Pirashanth, Mathey, Alexis, Vanhuffel, William, Fotso, Michael Fotso
Recent literature has demonstrated the potential of multilingual Neural Machine Translation (mNMT) models. However, the most efficient models are not well suited to specialized industries. In these cases, internal data is scarce and expensive to find
Externí odkaz:
http://arxiv.org/abs/2210.14979
Autor:
Oussaid, Ismail, Vanhuffel, William, Ratnamogan, Pirashanth, Hajaiej, Mhamed, Mathey, Alexis, Gilles, Thomas
Publikováno v:
26th International Conference on Pattern Recognition (ICPR), 2022
Information extraction (IE) from documents is an intensive area of research with a large set of industrial applications. Current state-of-the-art methods focus on scanned documents with approaches combining computer vision, natural language processin
Externí odkaz:
http://arxiv.org/abs/2111.04045
Autor:
Oussaid, Ismail, Vanhuffel, William, Ratnamogan, Pirashanth, Hajaiej, Mhamed, Mathey, Alexis, Gilles, Thomas
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Information extraction (IE) from documents is an intensive area of research with a large set of industrial applications. Current state-of-the-art methods focus on scanned documents with approaches combining computer vision, natural language processin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a734dc0c37f9c34677fed61cd461a2e3
https://doi.org/10.1109/icpr56361.2022.9956120
https://doi.org/10.1109/icpr56361.2022.9956120
