Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text
April 06, 2016 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Subhashini Venugopalan, Lisa Anne Hendricks, Raymond Mooney, Kate Saenko
arXiv ID
1604.01729
Category
cs.CL: Computation & Language
Cross-listed
cs.CV
Citations
122
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
4 months ago
Abstract
This paper investigates how linguistic knowledge mined from large text corpora can aid the generation of natural language descriptions of videos. Specifically, we integrate both a neural language model and distributional semantics trained on large text corpora into a recent LSTM-based architecture for video description. We evaluate our approach on a collection of Youtube videos as well as two large movie description datasets showing significant improvements in grammaticality while modestly improving descriptive quality.
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