sildar/potara
Multi-document summarization tool relying on ILP and sentence fusion
This tool helps researchers, analysts, or anyone dealing with many related text documents to quickly grasp the core information. You provide a set of documents, and it generates a concise summary, often fusing similar sentences to create more informative output. This is ideal for someone who needs to synthesize information from multiple sources efficiently.
No commits in the last 6 months. Available on PyPI.
Use this if you need to create a brief, unified summary from several related text documents that discuss similar topics.
Not ideal if you only have one document to summarize, or if your documents are not closely related in content.
Stars
82
Forks
24
Language
Python
License
MIT
Category
Last pushed
Dec 27, 2022
Commits (30d)
0
Dependencies
8
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/sildar/potara"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
hyunwoongko/summarizers
Package for controllable summarization
uoneway/Text-Summarization-Repo
텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.
yuhaozhang/summarize-radiology-findings
Code and pretrained model for paper "Learning to Summarize Radiology Findings"
Huffon/factsumm
FactSumm: Factual Consistency Scorer for Abstractive Summarization
Ravoxsg/SummaReranker
Source code for SummaReranker (ACL 2022)