G-Flow

G-Flow is an automatic extractive summarization system that seeks to balance coherence and salience. G-Flow introduces a joint model for selection and ordering that balances coherence and salience. G-Flow's core representation is a graph that approximates the discourse relations across sentences based on indicators including discourse cues, deverbal nouns, co-reference, and more. This graph enables G-Flow to estimate the coherence of a candidate summary. G-Flow was developed at the University of Washington's Turing Center.

Data

You can download the summaries we used in our evaluation here.

Downloads

For information on the G-Flow code, email Janara Christensen (janara AT cs.washington.edu). G-Flow is released under an academic license. For instructions on how to run G-Flow or use it in your own code, please see the README file (also included in the download).

• G-Flow
• README
• LICENSE

Demo

Try out our system using our demo.