natural-language-processing-8
Multimodal Abstractive Text Summarization
3260 papers • 126 benchmarks • 313 datasets
Abstractive text summarization by utilizing information from multiple modalities.
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MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention
Aman Khullar, Udit Arora•Wed Oct 14 2020
A new model for Multimodal Abstractive Text Summarization that utilizes information from all three modalities – text, audio and video – in a multimodal video and presents a sequence-to-sequence trimodal hierarchical attention-based model that overcomes challenges by letting the model pay more attention to the text modality.
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