SoniaMola/SemanticsExtraction
The aim of the project is to extract from Natural Language relevant semantic informations. The input text is divided into triples (Subject - Relation - Object). WordNet here is used to get the meaning of relation and DBpedia is used to extract information from subject and object.
No commits in the last 6 months.
Stars
3
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 28, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/SoniaMola/SemanticsExtraction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ziqizhang/jate
JATE - Just Automatic Term Extraction (in Python)
mcs07/ChemDataExtractor
Automatically extract chemical information from scientific documents
brucewlee/lftk
[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability...
mmmaurer/elfen
A python package to efficiently extract linguistic features for text/NLP datasets
strangetom/ingredient-parser
A tool to parse recipe ingredients into structured data