Research map / Image generation / Text-to-image diffusion
Sentence Generation for Entity Description with Content-Plan Attention
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use proposed content-plan attention instead of NCP | Proposed · WIKIALL | BLEU: 63.21 -> 65.12 | Helped |
| use proposed model instead of NCP on shuffled attributes | Proposed · WIKIBIO (disordered) | BLEU: 43.07 -> 45.32 | Helped |
| use proposed model instead of FGDA on ordered attributes | Proposed · WIKIBIO (ordered) | BLEU: 44.59 -> 45.46 | Helped |
| shuffle attributes for FGDA | FGDA · WIKIBIO | BLEU: 44.59 -> 42.31 | Hurt |
| shuffle attributes for proposed model | Proposed · WIKIBIO | BLEU: 45.46 -> 45.32 | No clear effect |
| use proposed model instead of NCP | Proposed · WIKIALL | TER: 28.50 -> 27.50 | Helped |
| use proposed model vs NCP, human evaluated correctness | Proposed · WIKIALL human eval | correctness: 2.54 -> 2.68 | Helped |
| use proposed model vs NCP when given gold content-plan | Proposed · WIKIALL | BLEU: 66.69 -> 66.97 | No clear effect |
| use end-to-end joint learning rather than predicted content-plan for NCP | Proposed · WIKIALL | BLEU: 63.21 -> 65.12 | Helped |
Closest papers by meaning
- Data-to-Text Generation with Content Selection and Planning (AAAI 2019 · similarity 0.88)
- Order-Planning Neural Text Generation From Structured Data (AAAI 2018 · similarity 0.88)
- Toward Controlled Generation of Text (ICML 2017 · similarity 0.86)
- Variational Template Machine for Data-to-Text Generation (ICLR 2020 · similarity 0.86)
- Structure Learning for Headline Generation (AAAI 2020 · similarity 0.85)
- Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training (AAAI 2021 · similarity 0.85)
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