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arXiv · 2005.09252

Multi-Modal Summary Generation using Multi-Objective Optimization

Anubhav Jangra·Sriparna Saha·Adam Jatowt·Mohammad Hasanuzzaman
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Abstract

Significant development of communication technology over the past few years has motivated research in multi-modal summarization techniques. A majority of the previous works on multi-modal summarization focus on text and images. In this paper, we propose a novel extractive multi-objective optimization based model to produce a multi-modal summary containing text, images, and videos. Important objectives such as intra-modality salience, cross-modal redundancy and cross-modal similarity are optimized simultaneously in a multi-objective optimization framework to produce effective multi-modal output. The proposed model has been evaluated separately for different modalities, and has been found to perform better than state-of-the-art approaches.

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Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammad Hasanuzzaman. 2020-05-19. Multi-Modal Summary Generation using Multi-Objective Optimization. https://arxiv.org/abs/2005.09252

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