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Found 6 papers, 3 papers with code
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation
We also introduce two deliberately designed test sets to verify the necessity of visual information: Ambiguous with the presence of ambiguous words, and Unambiguous in which the text context is self-contained for translation.
Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation
Therefore, this paper correspondingly establishes new methods and new datasets for MMT.
DU-VLG: Unifying Vision-and-Language Generation via Dual Sequence-to-Sequence Pre-training
To bridge the gap between image understanding and generation, we further design a novel commitment loss.
Efficient Attentions for Long Document Summarization
The quadratic computational and memory complexities of large Transformers have limited their scalability for long document summarization.
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
Sequence-to-sequence models for abstractive summarization have been studied extensively, yet the generated summaries commonly suffer from fabricated content, and are often found to be near-extractive.
An Entity-Driven Framework for Abstractive Summarization
Human judges further rate our system summaries as more informative and coherent than those by popular summarization models.
