# LIA-RAG: a system based on graphs and divergence of probabilities applied to Speech-To-Text Summarization

arXiv: https://arxiv.org/abs/1601.07124 · HTML: https://mlsanity.com/paper/1601.07124/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Jan 2016.

## Built on by (most cited first, 1 of 1)

- [Effectiveness of French Language Models on Abstractive Dialogue Summarization Task](https://mlsanity.com/paper/2207.08305/) (2022)

## Abstract (arXiv)

This paper aims to introduces a new algorithm for automatic speech-to-text summarization based on statistical divergences of probabilities and graphs. The input is a text from speech conversations with noise, and the output a compact text summary. Our results, on the pilot task CCCS Multiling 2015 French corpus are very encouraging