yixinL7/PageSum
EMNLP 2022: Leveraging Locality in Abstractive Text Summarization
This project helps researchers, analysts, or anyone dealing with lengthy documents to condense them into shorter, coherent summaries. It takes long-form text, such as scientific papers, news articles, or government reports, and outputs a concise abstract that captures the main points. This is useful for individuals who need to quickly grasp the essence of extensive content without reading every detail.
No commits in the last 6 months.
Use this if you need to automatically generate high-quality, abstractive summaries from very long documents like research papers, detailed reports, or multi-source news articles.
Not ideal if you need keyword extraction, extractive summaries (where sentences are directly copied from the original text), or summaries for very short texts.
Stars
18
Forks
2
Language
Python
License
—
Category
Last pushed
Oct 21, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/yixinL7/PageSum"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
sildar/potara
Multi-document summarization tool relying on ILP and sentence fusion
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.
Huffon/factsumm
FactSumm: Factual Consistency Scorer for Abstractive Summarization
yuhaozhang/summarize-radiology-findings
Code and pretrained model for paper "Learning to Summarize Radiology Findings"