Multimedia summary generation from online conversations: Current approaches and future directions

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Abstract

With the proliferation of Web-based social media, asynchronous conversations have become very common for supporting online communication and collaboration. Yet the increasing volume and complexity of conversational data often make it very difficult to get insights about the discussions. We consider combining textual summary with visual representation of conversational data as a promising way of supporting the user in exploring conversations. In this paper, we report our current work on developing visual interfaces that present multimedia summary combining text and visualization for online conversations and how our solutions have been tailored for a variety of domain problems. We then discuss the key challenges and opportunities for future work in this research space.

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CITATION STYLE

APA

Hoque, E., & Carenini, G. (2017). Multimedia summary generation from online conversations: Current approaches and future directions. In EMNLP 2017 - Workshop on New Frontiers in Summarization, NFiS 2017 - Workshop Proceedings (pp. 12–19). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-4502

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