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ResearchFormerly WizWand

Paragraph Generation on Stanford Paragraph Dataset (test)

19.22METEORHuman
10.913.0615.2217.38Mar 21, 2017Jun 17, 2017Sep 14, 2017Dec 11, 2017Mar 10, 2018Jun 6, 2018Sep 3, 2018
Updated 8mo ago

Evaluation results

MethodLinks
Human2017.0319.2228.5542.8825.6815.559.66
Human2018.0919.2228.5542.8825.6815.559.66
Proposed Model (with VAE)Training=VAE2018.0918.6220.9342.3825.5215.159.43
RTT-GANLearning Setting=Semi + Fully supervised2017.0318.3920.3642.0625.3514.929.21
RTT-GANvariant=Plus2018.0918.3920.3642.0625.3514.929.21
Proposed ModelCoherence Vectors=True, Global Topic Vectors=True2018.0917.8119.9542.1225.1814.749.05
Proposed Model (NG)Coherence Vectors=True, Global Topic Vectors=False2018.0917.2618.2342.0525.0514.598.96
Proposed Model (with GAN)Training=GAN2018.0917.2118.0542.0424.9614.538.95
RTT-GANLearning Setting=Fully-supervised2017.0317.1216.8741.9924.8614.899.03
RTT-GAN2018.0917.1216.8741.9924.8614.899.03
Proposed Model (NC)Coherence Vectors=False, Global Topic Vectors=True2018.0916.8916.4242.0324.8414.478.82
RTT-GANLearning Setting=Fully-supervised, Ablation=w/o discriminator2017.0316.5715.0741.8624.3314.568.99
Regions-Hierarchical2017.0315.9513.5241.924.1114.238.69
Regions-Hierarchical2018.0915.9513.5241.924.1114.238.69
Template2017.0314.3112.1537.4721.0212.037.38
RTT-GANLearning Setting=Semi-supervised2017.0314.0813.0739.2222.513.347.75
Image-Flat2017.0312.8211.0634.0419.9512.27.71
Image-Flat2018.0912.8211.0634.0419.9512.27.71
RTT-GANLearning Setting=Semi-supervised, Ablation=w/o topic-transition D2017.0312.6812.7737.220.5112.086.91
RTT-GANLearning Setting=Semi-supervised, Ablation=w/o discriminator2017.0312.358.9633.8217.49.015.88
Sentence-Concat2017.0312.056.8231.1115.17.563.98
RTT-GANLearning Setting=Semi-supervised, Ablation=w/o sentence D2017.0311.2210.0435.2919.1311.556.02