Discourse relations between sentences are often represented as a tree, and the tree structure provides important information for summarizers to create a short and coherent …
Submodular maximization with the greedy algorithm has been studied as an effective approach to extractive summarization. This approach is known to have three advantages: its …
We propose an integer linear programming (ILP)-based compressive speech summarization method that maximizes the coverage of content words in a resultant summary. It is an …
H Ito, K Akashi, K Takamatsu, S Imai… - IEEJ Transactions on …, 2024 - jstage.jst.go.jp
Abridgement is a form of summarisation task that offers an innovative learning approach for enhancing reading comprehension within language education. To scale up the application …
Extractive Single Document Summarization (SDS) is the task of summarizing a single document via extracting importance sentences verbatim and arranging them in a cohesive …