JRC1995/Abstractive-Summarization
Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
This project helps anyone who needs to quickly get the main points from long documents, like customer reviews or articles. It takes in a piece of text and outputs a shorter, human-like summary that captures the essential information, rather than just pulling sentences verbatim. This is ideal for researchers, analysts, or content creators needing to digest information efficiently.
168 stars. No commits in the last 6 months.
Use this if you need to create concise, original summaries from lengthy text inputs, such as product reviews or news articles, saving time on manual reading.
Not ideal if you need an exact, verbatim extraction of key sentences, or if your text inputs are extremely short and don't require summarization.
Stars
168
Forks
59
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 30, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/JRC1995/Abstractive-Summarization"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Yale-LILY/SummerTime
An open-source text summarization toolkit for non-experts. EMNLP'2021 Demo
ChenRocks/fast_abs_rl
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence...
atulkum/pointer_summarizer
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
oneai-nlp/oneai-node
Natural language processing - summarization, sentiment analysis, topic detection and more.
Law-AI/summarization
Implementation of different summarization algorithms applied to legal case judgements.