June 4, 2024, 4:54 a.m. | Arne Binder, Leonhard Hennig, Christoph Alt

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.00007v1 Announce Type: cross
Abstract: The objective of Information Extraction (IE) is to derive structured representations from unstructured or semi-structured documents. However, developing IE models is complex due to the need of integrating several subtasks. Additionally, representation of data among varied tasks and transforming datasets into task-specific model inputs presents further challenges. To streamline this undertaking for researchers, we introduce PyTorch-IE, a deep-learning-based framework uniquely designed to enable swift, reproducible, and reusable implementations of IE models. PyTorch-IE offers a flexible …

abstract arxiv challenges cs.cl cs.ir data datasets documents extraction however information information extraction inputs prototyping pytorch representation semi tasks type unstructured

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