A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization

William Yang Wang, Yashar Mehdad, Dragomir R. Radev, Amanda Stent. A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization. In Kevin Knight, Ani Nenkova, Owen Rambow, editors, NAACL HLT 2016, The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016. pages 58-68, The Association for Computational Linguistics, 2016. [doi]

Abstract

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