Summarizing indonesian news articles using graph convolutional network
Summarizing indonesian news articles using graph convolutional network
This study used three different representation types for the sentence relationship graph. The sentence selection component then generates a summary with two different techniques: by greedily choosing sentences with the highest scores and by using the Maximum Marginal Relevance (MMR) technique.