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

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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.