aoldoni/tetre
TETRE: a Toolkit for Exploring Text for Relation Extraction
This tool helps researchers and academics quickly find specific relationships between entities within large collections of academic papers. You provide raw text files and a 'relation word' (like 'improves'), and it outputs a structured list of sentences where that relationship occurs, detailing the subject and object of the relation. It's designed for anyone needing to extract precise information from scholarly documents without manual reading.
No commits in the last 6 months.
Use this if you need to automatically identify and extract specific 'subject-relation-object' relationships from a corpus of academic texts, especially if you're working with large datasets where manual extraction is impractical.
Not ideal if you need a general-purpose natural language processing tool for broad text analysis or if your data is not primarily academic papers.
Stars
75
Forks
7
Language
Python
License
MIT
Category
Last pushed
Jun 05, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/aoldoni/tetre"
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