Search Results for author: Jian Guan

Found 24 papers, 15 papers with code

Persona-Guided Planning for Controlling the Protagonist’s Persona in Story Generation

no code implementations NAACL 2022 Zhexin Zhang, Jiaxin Wen, Jian Guan, Minlie Huang

In this paper, we aim to control the protagonist’s persona in story generation, i. e., generating a story from a leading context and a persona description, where the protagonist should exhibit the specified personality through a coherent event sequence.

Story Generation

Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework

no code implementations8 Aug 2022 Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang

Despite advances in generating fluent texts, existing pretraining models tend to attach incoherent event sequences to involved entities when generating narratives such as stories and news.

Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation

no code implementations22 Apr 2022 Zhexin Zhang, Jiaxin Wen, Jian Guan, Minlie Huang

Endowing the protagonist with a specific personality is essential for writing an engaging story.

Story Generation

Local Information Assisted Attention-free Decoder for Audio Captioning

1 code implementation10 Jan 2022 Feiyang Xiao, Jian Guan, Haiyan Lan, Qiaoxi Zhu, Wenwu Wang

Although this method effectively captures global information within audio data via the self-attention mechanism, it may ignore the event with short time duration, due to its limitation in capturing local information in an audio signal, leading to inaccurate prediction of captions.

Audio captioning

LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation

2 code implementations30 Aug 2021 Jian Guan, Zhuoer Feng, Yamei Chen, Ruilin He, Xiaoxi Mao, Changjie Fan, Minlie Huang

Therefore, we propose a story-centric benchmark named LOT for evaluating Chinese long text modeling, which aggregates two understanding tasks and two generation tasks.

Natural Language Processing Text Infilling

CPM-2: Large-scale Cost-effective Pre-trained Language Models

2 code implementations20 Jun 2021 Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan YAO, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun

We present a suite of cost-effective techniques for the use of PLMs to deal with the efficiency issues of pre-training, fine-tuning, and inference.

OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics

1 code implementation ACL 2021 Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang

Automatic metrics are essential for developing natural language generation (NLG) models, particularly for open-ended language generation tasks such as story generation.

Story Generation

Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence

1 code implementation ACL 2021 Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, Minlie Huang

Generating long and coherent text is an important but challenging task, particularly for open-ended language generation tasks such as story generation.

Semantic Similarity Semantic Textual Similarity +1

Stylized Story Generation with Style-Guided Planning

no code implementations Findings (ACL) 2021 Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan, Minlie Huang

Current storytelling systems focus more ongenerating stories with coherent plots regard-less of the narration style, which is impor-tant for controllable text generation.

Story Generation

Low-dimensional Denoising Embedding Transformer for ECG Classification

no code implementations31 Mar 2021 Jian Guan, Wenbo Wang, Pengming Feng, Xinxin Wang, Wenwu Wang

However, the high-dimensional embedding obtained via 1-D convolution and positional encoding can lead to the loss of the signal's own temporal information and a large amount of training parameters.

Classification Denoising +2

Time-domain Speech Enhancement with Generative Adversarial Learning

1 code implementation30 Mar 2021 Feiyang Xiao, Jian Guan, Qiuqiang Kong, Wenwu Wang

Speech enhancement aims to obtain speech signals with high intelligibility and quality from noisy speech.

Speech Enhancement

A Text GAN for Language Generation with Non-Autoregressive Generator

no code implementations1 Jan 2021 Fei Huang, Jian Guan, Pei Ke, Qihan Guo, Xiaoyan Zhu, Minlie Huang

Despite the great success of Generative Adversarial Networks (GANs) in generating high-quality images, GANs for text generation still face two major challenges: first, most text GANs are unstable in training mainly due to ineffective optimization of the generator, and they heavily rely on maximum likelihood pretraining; second, most text GANs adopt autoregressive generators without latent variables, which largely limits the ability to learn latent representations for natural language text.

Decipherment Representation Learning +1

UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

1 code implementation EMNLP 2020 Jian Guan, Minlie Huang

Experiments on two story datasets demonstrate that UNION is a reliable measure for evaluating the quality of generated stories, which correlates better with human judgments and is more generalizable than existing state-of-the-art metrics.

Story Generation

CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation

1 code implementation3 Feb 2020 Fei Huang, Dazhen Wan, Zhihong Shao, Pei Ke, Jian Guan, Yilin Niu, Xiaoyan Zhu, Minlie Huang

In text generation evaluation, many practical issues, such as inconsistent experimental settings and metric implementations, are often ignored but lead to unfair evaluation and untenable conclusions.

Text Generation

A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

1 code implementation TACL 2020 Jian Guan, Fei Huang, Zhihao Zhao, Xiaoyan Zhu, Minlie Huang

To further capture the causal and temporal dependencies between the sentences in a reasonable story, we employ multi-task learning which combines a discriminative objective to distinguish true and fake stories during fine-tuning.

Multi-Task Learning Story Generation

A Practical Solution for SAR Despeckling With Adversarial Learning Generated Speckled-to-Speckled Images

no code implementations13 Dec 2019 Ye Yuan, Jian Guan, Pengming Feng, Yanxia Wu

In this letter, we aim to address a synthetic aperture radar (SAR) despeckling problem with the necessity of neither clean (speckle-free) SAR images nor independent speckled image pairs from the same scene, and a practical solution for SAR despeckling (PSD) is proposed.

IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection

no code implementations2 Dec 2019 Youtian Lin, Pengming Feng, Jian Guan, Wenwu Wang, Jonathon Chambers

First, a novel geometric transformation is employed to better represent the oriented object in angle prediction, then a branch interactive module with a self-attention mechanism is developed to fuse features from classification and box regression branches.

object-detection Object Detection In Aerial Images +2

Story Ending Generation with Incremental Encoding and Commonsense Knowledge

1 code implementation30 Aug 2018 Jian Guan, Yansen Wang, Minlie Huang

This task requires not only to understand the context clues which play an important role in planning the plot but also to handle implicit knowledge to make a reasonable, coherent story.

Generating Informative Responses with Controlled Sentence Function

1 code implementation ACL 2018 Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu

Experiments show that our model outperforms state-of-the-art baselines, and it has the ability to generate responses with both controlled sentence function and informative content.

Text Generation

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