Xiaoyan Zhu

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JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs

Existing pre-trained models for knowledge-graph-to-text (KG-to-text) gen...
06/19/2021 ∙ by Pei Ke, et al. ∙ 0 ∙ share

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NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer

Autoregressive models have been widely used in unsupervised text style t...
06/04/2021 ∙ by Fei Huang, et al. ∙ 0 ∙ share

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A Semantic-based Method for Unsupervised Commonsense Question Answering

Unsupervised commonsense question answering is appealing since it does n...
05/31/2021 ∙ by Yilin Niu, et al. ∙ 0 ∙ share

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Ensemble Learning Based Classification Algorithm Recommendation

Recommending appropriate algorithms to a classification problem is one o...
01/15/2021 ∙ by Guangtao Wang, et al. ∙ 0 ∙ share

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CPM: A Large-scale Generative Chinese Pre-trained Language Model

Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
12/01/2020 ∙ by Zhengyan Zhang, et al. ∙ 4 ∙ share

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Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph

Despite the success of generative pre-trained language models on a serie...
09/24/2020 ∙ by Haozhe Ji, et al. ∙ 0 ∙ share

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A Large-Scale Chinese Short-Text Conversation Dataset

The advancements of neural dialogue generation models show promising res...
08/10/2020 ∙ by Yida Wang, et al. ∙ 0 ∙ share

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Knowledge-Aided Open-Domain Question Answering

Open-domain question answering (QA) aims to find the answer to a questio...
06/09/2020 ∙ by Mantong Zhou, et al. ∙ 0 ∙ share

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Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness

Most existing approaches for goal-oriented dialogue policy learning used...
04/21/2020 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation

The research of knowledge-driven conversational systems is largely limit...
04/08/2020 ∙ by Hao Zhou, et al. ∙ 3 ∙ share

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Recent Advances and Challenges in Task-oriented Dialog System

Due to the significance and value in human-computer interaction and natu...
03/17/2020 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset

To advance multi-domain (cross-domain) dialogue modeling as well as alle...
02/27/2020 ∙ by Qi Zhu, et al. ∙ 0 ∙ share

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

In text generation evaluation, many practical issues, such as inconsiste...
02/03/2020 ∙ by Fei Huang, et al. ∙ 0 ∙ share

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A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

Story generation, namely generating a reasonable story from a leading co...
01/15/2020 ∙ by Jian Guan, et al. ∙ 0 ∙ share

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Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization

In spite of great advancements of machine reading comprehension (RC), ex...
11/16/2019 ∙ by Mantong Zhou, et al. ∙ 0 ∙ share

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SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis

Most of the existing pre-trained language representation models neglect ...
11/06/2019 ∙ by Pei Ke, et al. ∙ 0 ∙ share

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Recognition Of Surface Defects On Steel Sheet Using Transfer Learning

Automatic defect recognition is one of the research hotspots in steel pr...
09/07/2019 ∙ by Jingwen Fu, et al. ∙ 19 ∙ share

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ARAML: A Stable Adversarial Training Framework for Text Generation

Most of the existing generative adversarial networks (GAN) for text gene...
08/20/2019 ∙ by Pei Ke, et al. ∙ 0 ∙ share

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Long and Diverse Text Generation with Planning-based Hierarchical Variational Model

Existing neural methods for data-to-text generation are still struggling...
08/19/2019 ∙ by Zhihong Shao, et al. ∙ 0 ∙ share

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Challenges in Building Intelligent Open-domain Dialog Systems

There is a resurgent interest in developing intelligent open-domain dial...
05/13/2019 ∙ by Minlie Huang, et al. ∙ 5 ∙ share

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Domain-Constrained Advertising Keyword Generation

Advertising (ad for short) keyword suggestion is important for sponsored...
02/27/2019 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Verification Code Recognition Based on Active and Deep Learning

A verification code is an automated test method used to distinguish betw...
02/12/2019 ∙ by Dongliang Xu, et al. ∙ 0 ∙ share

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Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning

In this paper we address a task of relation mention extraction from nois...
11/03/2018 ∙ by Jun Feng, et al. ∙ 0 ∙ share

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Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning

Ranking is a fundamental and widely studied problem in scenarios such as...
09/17/2018 ∙ by Jun Feng, et al. ∙ 6 ∙ share

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Reinforcement Learning for Relation Classification from Noisy Data

Existing relation classification methods that rely on distant supervisio...
08/24/2018 ∙ by Jun Feng, et al. ∙ 6 ∙ share

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Memory-augmented Dialogue Management for Task-oriented Dialogue Systems

Dialogue management (DM) decides the next action of a dialogue system ac...
05/01/2018 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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An Interpretable Reasoning Network for Multi-Relation Question Answering

Multi-relation Question Answering is a challenging task, due to the requ...
01/15/2018 ∙ by Mantong Zhou, et al. ∙ 0 ∙ share

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Assigning personality/identity to a chatting machine for coherent conversation generation

Endowing a chatbot with personality or an identity is quite challenging ...
06/09/2017 ∙ by Qiao Qian, et al. ∙ 0 ∙ share

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Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

Perception and expression of emotion are key factors to the success of d...
04/04/2017 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Linguistically Regularized LSTMs for Sentiment Classification

Sentiment understanding has been a long-term goal of AI in the past deca...
11/12/2016 ∙ by Qiao Qian, et al. ∙ 0 ∙ share

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SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions

Knowledge representation is an important, long-history topic in AI, and ...
04/17/2016 ∙ by Han Xiao, et al. ∙ 0 ∙ share

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From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction

Knowledge graph embedding aims at offering a numerical knowledge represe...
12/15/2015 ∙ by Han Xiao, et al. ∙ 0 ∙ share

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TransA: An Adaptive Approach for Knowledge Graph Embedding

Knowledge representation is a major topic in AI, and many studies attemp...
09/18/2015 ∙ by Han Xiao, et al. ∙ 0 ∙ share

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TransG : A Generative Mixture Model for Knowledge Graph Embedding

Recently, knowledge graph embedding, which projects symbolic entities an...
09/18/2015 ∙ by Han Xiao, et al. ∙ 0 ∙ share

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Xiaoyan Zhu

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