Information Extraction of Domain-Specific Business Documents with Limited Data

Nguyen, Minh-Tien; Linh, Le Thai; Le, Dung Tien; Sơn, Nguyễn Hồng; Duong, Do Hoang Thai; Minh, Bui Cong; Shojiguchi, Akira

doi:10.1109/ijcnn52387.2021.9534328

Cited by 2 publications

(1 citation statement)

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“…More recently, transformers were proposed ( 94 ). Among the most successful ones are the Bidirectional Encoder Representations from Transformers (BERT) ( 95 ) and the Generative Pre-trained Transformer 3 (GPT-3) ( 96 ), which can be used as part of systems devoted to retrieving information from documents of different domains ( 97 – 101 ). As such, developing and extending these approaches to assist in constructing better FCDBs is a promising area of research that could help to improve our knowledge about food, nutrition and health ( 42 ).…”

Section: The Challenges For a Big Data Approachmentioning

confidence: 99%

Food composition databases in the era of Big Data: Vegetable oils as a case study

2023

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Understanding the population's dietary patterns and their impacts on health requires many different sources of information. The development of reliable food composition databases is a key step in this pursuit. With them, nutrition and health care professionals can provide better public health advice and guide society toward achieving a better and healthier life. Unfortunately, these databases are full of caveats. Focusing on the specific case of vegetable oils, we analyzed the possible obsolescence of the information and the differences or inconsistencies among databases. We show that in many cases, the information is limited, incompletely documented, old or unreliable. More importantly, despite the many efforts carried out in the last decades, there is still much work to be done. As such, institutions should develop long-standing programs that can ensure the quality of the information on what we eat in the long term. In the face of climate change and complex societal challenges in an interconnected world, the full diversity of the food system needs to be recognized and more efforts should be put toward achieving a data-driven food system.

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Section: The Challenges For a Big Data Approachmentioning

confidence: 99%