Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text

April 06, 2016 ยท Declared Dead ยท ๐Ÿ› Conference on Empirical Methods in Natural Language Processing

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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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