Search Results for author: Yinhe Zheng

Found 27 papers, 16 papers with code

Listener’s Social Identity Matters in Personalised Response Generation

no code implementations INLG (ACL) 2020 Guanyi Chen, Yinhe Zheng, Yupei Du

Personalised response generation enables generating human-like responses by means of assigning the generator a social identity.

Response Generation

Semi-Supervised Lifelong Language Learning

1 code implementation23 Nov 2022 Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Haiyang Yu, Yongbin Li, Nevin L. Zhang

In this paper, we explore a novel setting, semi-supervised lifelong language learning (SSLL), where a model learns sequentially arriving language tasks with both labeled and unlabeled data.

Transfer Learning

Continuous QA Learning with Structured Prompts

no code implementations31 Aug 2022 Yinhe Zheng

Specifically, we dedicate task-level prompts to capture task-specific knowledge to retain high LL performances and maintain instance-level prompts to learn knowledge shared across different input samples to improve the model's generalization performance.

Language Modelling Question Answering

Accuracy on In-Domain Samples Matters When Building Out-of-Domain detectors: A Reply to Marek et al. (2021)

1 code implementation24 May 2022 Yinhe Zheng, Guanyi Chen

We have noticed that Marek et al. (2021) try to re-implement our paper Zheng et al. (2020a) in their work "OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation".

OOD Detection

Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis

no code implementations23 Mar 2022 Yequan Wang, Xuying Meng, Yiyi Liu, Aixin Sun, Yao Wang, Yinhe Zheng, Minlie Huang

These models hence are not optimized for dialog-level emotion detection, i. e. to predict the emotion category of a dialog as a whole.

Emotion Recognition

Rethinking and Refining the Distinct Metric

1 code implementation ACL 2022 Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang

We provide both empirical and theoretical evidence to show that our method effectively removes the biases existing in the original distinct score.

Text Generation

Unsupervised Domain Adaptation with Adapter

no code implementations1 Nov 2021 Rongsheng Zhang, Yinhe Zheng, Xiaoxi Mao, Minlie Huang

However, fine-tuning all the parameters of the PrLM on a small domain-specific corpus distort the learned generic knowledge, and it is also expensive to deployment a whole fine-tuned PrLM for each domain.

Unsupervised Domain Adaptation

MMChat: Multi-Modal Chat Dataset on Social Media

1 code implementation LREC 2022 Yinhe Zheng, Guanyi Chen, Xin Liu, Jian Sun

To better investigate this issue, we manually annotate 100K dialogues from MMChat and further filter the corpus accordingly, which yields MMChat-hf.

Dialogue Generation

EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training

2 code implementations3 Aug 2021 Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang

Although pre-trained language models have remarkably enhanced the generation ability of dialogue systems, open-domain Chinese dialogue systems are still limited by the dialogue data and the model size compared with English ones.

Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues

no code implementations6 Jun 2021 Yinhe Zheng, Yida Wang, Pei Ke, Zhenyu Yang, Minlie Huang

This paper propose to combine pretrained language models with the modular dialogue paradigm for open-domain dialogue modeling.

Informativeness Language Modelling +2

Diversifying Dialog Generation via Adaptive Label Smoothing

1 code implementation ACL 2021 Yida Wang, Yinhe Zheng, Yong Jiang, Minlie Huang

Neural dialogue generation models trained with the one-hot target distribution suffer from the over-confidence issue, which leads to poor generation diversity as widely reported in the literature.

Dialogue Generation

Listener's Social Identity Matters in Personalised Response Generation

no code implementations27 Oct 2020 Guanyi Chen, Yinhe Zheng, Yupei Du

Personalised response generation enables generating human-like responses by means of assigning the generator a social identity.

Response Generation

Stylized Dialogue Response Generation Using Stylized Unpaired Texts

1 code implementation27 Sep 2020 Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, Minlie Huang

However, this task is far from well-explored due to the difficulties of rendering a particular style in coherent responses, especially when the target style is embedded only in unpaired texts that cannot be directly used to train the dialogue model.

Dialogue Generation Response Generation

Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired Data

1 code implementation EMNLP 2020 Rongsheng Zhang, Yinhe Zheng, Jianzhi Shao, Xiaoxi Mao, Yadong Xi, Minlie Huang

Further, a model-level distillation process is employed to distill a teacher model trained on high-quality paired data to augmented dialogue pairs, thereby preventing dialogue models from being affected by the noise in the augmented data.

Data Augmentation

A Large-Scale Chinese Short-Text Conversation Dataset

2 code implementations10 Aug 2020 Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang

The cleaned dataset and the pre-training models will facilitate the research of short-text conversation modeling.

Dialogue Generation Short-Text Conversation

A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data

2 code implementations12 Nov 2019 Yinhe Zheng, Rongsheng Zhang, Xiaoxi Mao, Minlie Huang

Further, to incorporate the target persona in the decoding process and to balance its contribution, an attention routing structure is devised in the decoder to merge features extracted from the target persona and dialogue contexts using dynamically predicted weights.

Dialogue Generation Language Modelling

Out-of-domain Detection for Natural Language Understanding in Dialog Systems

1 code implementation9 Sep 2019 Yinhe Zheng, Guanyi Chen, Minlie Huang

Besides, we also demonstrate that the effectiveness of these pseudo OOD data can be further improved by efficiently utilizing unlabeled data.

Natural Language Understanding OOD Detection +1

Personalized Dialogue Generation with Diversified Traits

3 code implementations28 Jan 2019 Yinhe Zheng, Guanyi Chen, Minlie Huang, Song Liu, Xuan Zhu

In this paper, we investigate the problem of incorporating explicit personality traits in dialogue generation to deliver personalized dialogues.

Dialogue Generation

Quantifying Context Overlap for Training Word Embeddings

no code implementations EMNLP 2018 Yimeng Zhuang, Jinghui Xie, Yinhe Zheng, Xuan Zhu

Most models for learning word embeddings are trained based on the context information of words, more precisely first order co-occurrence relations.

Dimensionality Reduction Language Modelling +3

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