DRGD-LCSTS
- Code for "Deep Recurrent Generative Decoder for Abstractive Text Summarization"
- Only for dataset LCSTS
- A refactor version for datasets agiga and duc will be released later
How to use?
- python prepare_data.py
- python main_lcsts.py
code for "Deep Recurrent Generative Decoder for Abstractive Text Summarization"
Could you please tell me a little bit about the environment of this project. I configured the theano but get error About "out of memory. "And I tried a lot of methods to fix it. However, it doesn't work.
I beg for your help.
Thanks a lot.
Thanks a lot.
Thanks a lot.
Thanks for your job! I wonder how to download the prepared dataset used in (Rush et al., 2015) . I hope you would agree to share the dataset with us. Thanks!
same code works for duc 2004 too?
how I can run with multi-gpu?
Do you have a pytorch version?
Urgent need!!!!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.