30 citations · 63 across the 5 of their papers we have counts for
5 papers
Variational Template Machine for Data-to-Text Generation
Rong Ye, Wenxian Shi, Hao Zhou +2
How to generate descriptions from structured data organized in tables? Existing approaches using neural encoder-decoder models often suffer from lacking diversity. We claim that an…
Importance-Aware Learning for Neural Headline Editing
Qingyang Wu, Lei Li, Hao Zhou +2
Many social media news writers are not professionally trained. Therefore, social media platforms have to hire professional editors to adjust amateur headlines to attract more reade…
Non-autoregressive Transformer by Position Learning
Yu Bao, Hao Zhou, Jiangtao Feng +4
Non-autoregressive models are promising on various text generation tasks. Previous work hardly considers to explicitly model the positions of generated words. However, position mod…
UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations
Hao Wu, Jiayuan Mao, Yufeng Zhang +4
We propose Unified Visual-Semantic Embeddings (UniVSE) for learning a joint space of visual and textual concepts. The space unifies the concepts at different levels, including obje…
Separably injective -spaces
Cho-Ho Chu, Lei Li
We show that a (complex) -space is separably injective if and only if it is linearly isometric to the Banach space of complex continuous functions vanishing at infini…