NH Son, MY Hieu, TAD Nguyen… - 2022 International Joint …, 2022 - ieeexplore.ieee.org
This paper introduces a new information extraction model for business documents. Different from prior studies which only base on span extraction or sequence labeling, the model takes …
Information extraction is a key corner-stone in the digitization of office data which requires the conversion of unstructured to structured data. However, in the actual application to …
Abstract Information extraction (IE) for visually-rich documents (VRDs) has achieved SOTA performance recently thanks to the adaptation of Transformer-based language models …
Abstract Transformer-based Language Models are widely used in Natural Language Processing related tasks. Thanks to their pre-training, they have been successfully adapted …
MT Nguyen, DT Le, L Le - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Abstract Information extraction plays an important role for data transformation in business cases. However, building extraction systems in actual cases face two challenges:(i) the …
Span extraction, aiming to extract text spans (such as words or phrases) from plain texts, is a fundamental process in Information Extraction. Recent works introduce the label knowledge …
Like for many text understanding and generation tasks, pre-trained languages models have emerged as a powerful approach for extracting information from business documents …
Information extraction is a well-known topic that plays a critical role in many NLP applications as its outputs can be considered as an entrance step for digital transformation …
This paper presents a practical approach to fine-grained information extraction. Through plenty of authors' experiences in practically applying information extraction to business …