[HTML][HTML] Chinese named entity recognition: The state of the art
Abstract Named Entity Recognition (NER), one of the most fundamental problems in natural
language processing, seeks to identify the boundaries and types of entities with specific …
language processing, seeks to identify the boundaries and types of entities with specific …
A survey on recent named entity recognition and relationship extraction techniques on clinical texts
Significant growth in Electronic Health Records (EHR) over the last decade has provided an
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
Information extraction from electronic medical documents: state of the art and future research directions
MY Landolsi, L Hlaoua, L Ben Romdhane - Knowledge and Information …, 2023 - Springer
In the medical field, a doctor must have a comprehensive knowledge by reading and writing
narrative documents, and he is responsible for every decision he takes for patients …
narrative documents, and he is responsible for every decision he takes for patients …
Applications of knowledge graphs for food science and industry
The deployment of various networks (eg, Internet of Things [IoT] and mobile networks),
databases (eg, nutrition tables and food compositional databases), and social media (eg …
databases (eg, nutrition tables and food compositional databases), and social media (eg …
Systematic literature review of information extraction from textual data: recent methods, applications, trends, and challenges
Information extraction (IE) is a challenging task, particularly when dealing with highly
heterogeneous data. State-of-the-art data mining technologies struggle to process …
heterogeneous data. State-of-the-art data mining technologies struggle to process …
[HTML][HTML] Data harmonisation as a key to enable digitalisation of the food sector: A review
The food sector is driven by a large number of actors, including primary producers,
manufacturers, logistics providers, retailers, and consumers. At each phase of the food value …
manufacturers, logistics providers, retailers, and consumers. At each phase of the food value …
Computational gastronomy: capturing culinary creativity by making food computable
Cooking, a quintessential creative pursuit, holds profound significance for individuals,
communities, and civilizations. Food and cooking transcend mere sensory pleasure to …
communities, and civilizations. Food and cooking transcend mere sensory pleasure to …
Comparison of text mining models for food and dietary constituent named-entity recognition
Biomedical Named-Entity Recognition (BioNER) has become an essential part of text mining
due to the continuously increasing digital archives of biological and medical articles. While …
due to the continuously increasing digital archives of biological and medical articles. While …
[HTML][HTML] A fine-tuned bidirectional encoder representations from transformers model for food named-entity recognition: Algorithm development and validation
Background Recently, food science has been garnering a lot of attention. There are many
open research questions on food interactions, as one of the main environmental factors, with …
open research questions on food interactions, as one of the main environmental factors, with …
A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety
G Makridis, P Mavrepis, D Kyriazis - Machine Learning, 2023 - Springer
In various application domains/sectors, data collected from the respective industries are
complemented with open data providing added value to the overall analysis and decision …
complemented with open data providing added value to the overall analysis and decision …