[HTML][HTML] Partial n-Ary relation instances on food packaging composition and permeability extracted from scientific publication tables
This dataset is dedicated to text mining and is composed of partial n-Ary relation instances
concerning food packaging composition and gas permeability. It was created from 31 tables …
concerning food packaging composition and gas permeability. It was created from 31 tables …
[HTML][HTML] Food packaging permeability and composition dataset dedicated to text‐mining
This dataset is composed of symbolic and quantitative entities concerning food packaging
composition and gas permeability. It was created from 50 scientific articles in English …
composition and gas permeability. It was created from 50 scientific articles in English …
A new method to extract n-Ary relation instances from scientific documents
A new method to extract knowledge structured as n-Ary relations from scientific articles is
presented. We designed and assessed different approaches to reconstruct instances of n …
presented. We designed and assessed different approaches to reconstruct instances of n …
Scipure: a new representation of textual data for entity identification from scientific publications
Retrieving entities associated with experimental data in the textual content of scientific
documents faces numbers of challenges. One of them is the assessment of the extracted …
documents faces numbers of challenges. One of them is the assessment of the extracted …
Xart: Discovery of correlated arguments of n-ary relations in text
Here we present the Xart system based on a three-step hybrid method using data mining
approaches and syntactic analysis to automatically discover and extract relevant data …
approaches and syntactic analysis to automatically discover and extract relevant data …
Xart system: discovering and extracting correlated arguments of n-ary relations from text
In this paper, we present Xart system based on a hybrid method using data mining
approaches and syntactic analysis to automatically discover and extract relevant information …
approaches and syntactic analysis to automatically discover and extract relevant information …
FoodChem: A food-chemical relation extraction model
In this paper, we present FoodChem, a new Relation Extraction (RE) model for identifying
chemicals present in the composition of food entities, based on textual information provided …
chemicals present in the composition of food entities, based on textual information provided …
From language models to large-scale food and biomedical knowledge graphs
G Cenikj, L Strojnik, R Angelski, N Ogrinc… - Scientific reports, 2023 - nature.com
Abstract Knowledge about the interactions between dietary and biomedical factors is
scattered throughout uncountable research articles in an unstructured form (eg, text, images …
scattered throughout uncountable research articles in an unstructured form (eg, text, images …
Extracting food-drug interactions from scientific literature: relation clustering to address lack of data
T Randriatsitohaina, T Hamon - International Conference on …, 2019 - Springer
Abstract Food-Drug Interaction (FDI) occurs when food and drug are taken simultaneously
and cause unexpected effect. This paper tackles the problem of mining scientific literature in …
and cause unexpected effect. This paper tackles the problem of mining scientific literature in …
A Thesaurus Based Semantic Relation Extraction for Agricultural Corpora
R Srinivasan, CN Subalalitha - International Conference on Computational …, 2020 - Springer
Semantic relations exist two concepts present in the text. Semantic relation extraction
becomes an essential part of building an efficient Natural Language Processing (NLP) …
becomes an essential part of building an efficient Natural Language Processing (NLP) …