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        <title>Hierarchically-Attentive RNN for Album Summarization and Storytelling</title>
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        <namePart type="given">Licheng</namePart>
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    <abstract>We address the problem of end-to-end visual storytelling. Given a photo album, our model first selects the most representative (summary) photos, and then composes a natural language story for the album. For this task, we make use of the Visual Storytelling dataset and a model composed of three hierarchically-attentive Recurrent Neural Nets (RNNs) to: encode the album photos, select representative (summary) photos, and compose the story. Automatic and human evaluations show our model achieves better performance on selection, generation, and retrieval than baselines.</abstract>
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%0 Conference Proceedings
%T Hierarchically-Attentive RNN for Album Summarization and Storytelling
%A Yu, Licheng
%A Bansal, Mohit
%A Berg, Tamara
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F yu-etal-2017-hierarchically
%X We address the problem of end-to-end visual storytelling. Given a photo album, our model first selects the most representative (summary) photos, and then composes a natural language story for the album. For this task, we make use of the Visual Storytelling dataset and a model composed of three hierarchically-attentive Recurrent Neural Nets (RNNs) to: encode the album photos, select representative (summary) photos, and compose the story. Automatic and human evaluations show our model achieves better performance on selection, generation, and retrieval than baselines.
%R 10.18653/v1/D17-1101
%U https://aclanthology.org/D17-1101
%U https://doi.org/10.18653/v1/D17-1101
%P 966-971

Markdown (Informal)

[Hierarchically-Attentive RNN for Album Summarization and Storytelling](https://aclanthology.org/D17-1101) (Yu et al., EMNLP 2017)

• Hierarchically-Attentive RNN for Album Summarization and Storytelling (Yu et al., EMNLP 2017)

ACL

• Licheng Yu, Mohit Bansal, and Tamara Berg. 2017. Hierarchically-Attentive RNN for Album Summarization and Storytelling. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 966–971, Copenhagen, Denmark. Association for Computational Linguistics.