We present a multimodal system for aligning scholarly documents to corresponding presentations in a fine-grained manner (i.e., per presentation slide and per paper section). Our method improves upon a state-of-the-art baseline that employs only textual similarity. Based on an analysis of baseline errors, we propose a three-pronged alignment system that combines textual, image, and ordering information to establish alignment. Our results show a statistically significant improvement of 25%, confirming the importance of visual content in improving alignment accuracy.
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