How2: A Large-scale Dataset for Multimodal Language Understanding
November 01, 2018 ยท Declared Dead ยท ๐ Neural Information Processing Systems
"No code URL or promise found in abstract"
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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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