Multimodal Abstractive Text Summarization

2 papers with code • 1 benchmarks • 2 datasets

Abstractive text summarization by utilizing information from multiple modalities.

Most implemented papers

MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention

amankhullar/mast EMNLP (nlpbt) 2020

This paper presents MAST, a new model for Multimodal Abstractive Text Summarization that utilizes information from all three modalities -- text, audio and video -- in a multimodal video.

Long Text and Multi-Table Summarization: Dataset and Method

stevenlau6/findsum 8 Feb 2023

Within a report document, the salient information can be scattered in the textual and non-textual content.