How2: A Large-scale Dataset for Multimodal Language Understanding

November 01, 2018 ยท Declared Dead ยท ๐Ÿ› Neural Information Processing Systems

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Authors Ramon Sanabria, Ozan Caglayan, Shruti Palaskar, Desmond Elliott, Loรฏc Barrault, Lucia Specia, Florian Metze arXiv ID 1811.00347 Category cs.CL: Computation & Language Citations 313 Venue Neural Information Processing Systems Last Checked 1 month ago
Abstract
In this paper, we introduce How2, a multimodal collection of instructional videos with English subtitles and crowdsourced Portuguese translations. We also present integrated sequence-to-sequence baselines for machine translation, automatic speech recognition, spoken language translation, and multimodal summarization. By making available data and code for several multimodal natural language tasks, we hope to stimulate more research on these and similar challenges, to obtain a deeper understanding of multimodality in language processing.
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