7 citations · 15 across the 5 of their papers we have counts for
6 papers · 1 filter
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation
Jinyi Hu, Xiaoyuan Yi, Wenhao Li +2
Variational Auto-Encoder (VAE) has been widely adopted in text generation. Among many variants, recurrent VAE learns token-wise latent variables with each conditioned on the preced…
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention
Wenhao Li, Xiaoyuan Yi, Jinyi Hu +2
Recently, powerful Transformer architectures have proven superior in generating high-quality sentences. Nevertheless, these models tend to produce dull high-frequency phrases, seve…
CCPM: A Chinese Classical Poetry Matching Dataset
Wenhao Li, Fanchao Qi, Maosong Sun +2
Poetry is one of the most important art forms of human languages. Recently many studies have focused on incorporating some linguistic features of poetry, such as style and sentimen…
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction
Zhenghao Liu, Xiaoyuan Yi, Maosong Sun +2
Grammatical Error Correction (GEC) aims to correct writing errors and help language learners improve their writing skills. However, existing GEC models tend to produce spurious cor…
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space
Xiaoyuan Yi, Ruoyu Li, Cheng Yang +2
As an essential step towards computer creativity, automatic poetry generation has gained increasing attention these years. Though recent neural models make prominent progress in so…
Generating Chinese Classical Poems with RNN Encoder-Decoder
Xiaoyuan Yi, Ruoyu Li, Maosong Sun
We take the generation of Chinese classical poem lines as a sequence-to-sequence learning problem, and build a novel system based on the RNN Encoder-Decoder structure to generate q…