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|Title:||Multimodal alignment of scholarly documents and their presentations||Authors:||Bahrani, B.
Fine-grained document alignment
Slide image classification
|Issue Date:||2013||Citation:||Bahrani, B.,Kan, M.-Y. (2013). Multimodal alignment of scholarly documents and their presentations. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries : 281-284. ScholarBank@NUS Repository. https://doi.org/10.1145/2467696.2467741||Abstract:||We present a multimodal system for aligning scholarly docu- ments 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 base- line 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. Copyright © 2013 by the Association for Computing Machinery, Inc. (ACM).||Source Title:||Proceedings of the ACM/IEEE Joint Conference on Digital Libraries||URI:||http://scholarbank.nus.edu.sg/handle/10635/78246||ISBN:||9781450320764||ISSN:||15525996||DOI:||10.1145/2467696.2467741|
|Appears in Collections:||Staff Publications|
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