Search Results for author: Xiaoyuan Yi

Found 15 papers, 6 papers with code

DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation

no code implementations16 Dec 2022 Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie

Augmented by only self-generated pseudo text, generation models over-emphasize exploitation of the previously learned space, suffering from a constrained generalization boundary.

Text Generation

Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention

1 code implementation14 Nov 2022 Wenhao Li, Xiaoyuan Yi, Jinyi Hu, Maosong Sun, Xing Xie

In this work, we dig into the intrinsic mechanism of this problem and found that sparser attention values in Transformer could improve diversity.

Text Generation

Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation

no code implementations22 Oct 2022 Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie

We demonstrate that TRACE could enhance the entanglement of each segment and preceding latent variables and deduce a non-zero lower bound of the KL term, providing a theoretical guarantee of generation diversity.

Text Generation

Self-explaining deep models with logic rule reasoning

1 code implementation13 Oct 2022 Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha

We present SELOR, a framework for integrating self-explaining capabilities into a given deep model to achieve both high prediction performance and human precision.

CCPM: A Chinese Classical Poetry Matching Dataset

1 code implementation3 Jun 2021 Wenhao Li, Fanchao Qi, Maosong Sun, Xiaoyuan Yi, Jiarui Zhang

We hope this dataset can further enhance the study on incorporating deep semantics into the understanding and generation system of Chinese classical poetry.


MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space

no code implementations13 Mar 2020 Xiaoyuan Yi, Ruoyu Li, Cheng Yang, Wenhao Li, Maosong Sun

Though recent neural models make prominent progress in some criteria of poetry quality, generated poems still suffer from the problem of poor diversity.

Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System

no code implementations ACL 2019 Guo Zhipeng, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Jiannan Liang, Huimin Chen, Yuhui Zhang, Ruoyu Li

By exposing the options of poetry genres, styles and revision modes, Jiuge, acting as a professional assistant, allows constant and active participation of users in poetic creation.

Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement

no code implementations EMNLP 2018 Cheng Yang, Maosong Sun, Xiaoyuan Yi, Wenhao Li

The ability to write diverse poems in different styles under the same poetic imagery is an important characteristic of human poetry writing.

Disentanglement Machine Translation +1

Chinese Poetry Generation with a Working Memory Model

1 code implementation12 Sep 2018 Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang

Different from previous methods, our model explicitly maintains topics and informative limited history in a neural memory.

Chinese Poetry Generation with a Salient-Clue Mechanism

no code implementations CONLL 2018 Xiaoyuan Yi, Ruoyu Li, Maosong Sun

As a precious part of the human cultural heritage, Chinese poetry has influenced people for generations.

Generating Chinese Classical Poems with RNN Encoder-Decoder

no code implementations6 Apr 2016 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 quatrains (Jueju in Chinese), with a topic word as input.

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