mlsanityData to 14 Oct 2026

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

arXiv 1601.07124 ↗First posted 26 Jan 2016cs.CL cs.IRcited by 1

Not on the map. Why?

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

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

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2022: 1.

1 paper.

  1. 2022Effectiveness of French Language Models on Abstractive Dialogue Summarization Taskcited by 3