LIA-RAG: a system based on graphs and divergence of probabilities applied to Speech-To-Text Summarization
Table 1: Evaluation of training corpus.
['[BOLD] Systems', '[BOLD] ROUGE-1', '[BOLD] ROUGE-2', '[BOLD] ROUGE-4']
This corpus contains 50 conversations transcription with 23,363 words and 115 summaries. Both versions of RAG provided the best results. The RAG system identified the main sentences discussed in conversations. However, the errors and speech expressions decreased the informativeness. The post-processing of LIA-RAG allowed to improve the results. This process reduces errors and generates a more informative and concise summary.