b'Xiaoyan Zhu'

research

∙ 10/17/2022

Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization

Training language models to learn from human instructions for zero-shot ...

0 Yuxian Gu, et al. ∙

research

∙ 06/06/2022

Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation

Despite the success of text-to-text pre-trained models in various natura...

0 Pei Ke, et al. ∙

research

∙ 04/02/2022

CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation

Existing reference-free metrics have obvious limitations for evaluating ...

0 Pei Ke, et al. ∙

research

∙ 03/17/2022

EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training

Large-scale pre-training has shown remarkable performance in building op...

0 Yuxian Gu, et al. ∙

research

∙ 02/28/2022

Rethinking and Refining the Distinct Metric

Distinct is a widely used automatic metric for evaluating the diversity ...

0 Siyang Liu, et al. ∙

research

∙ 10/16/2021

On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark

Dialogue safety problems severely limit the real-world deployment of neu...

0 Hao Sun, et al. ∙

research

∙ 08/03/2021

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

Although pre-trained language models have remarkably enhanced the genera...

0 Hao Zhou, et al. ∙

research

∙ 06/19/2021

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...

0 Pei Ke, et al. ∙

research

∙ 06/04/2021

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

Autoregressive models have been widely used in unsupervised text style t...

0 Fei Huang, et al. ∙

research

∙ 05/31/2021

A Semantic-based Method for Unsupervised Commonsense Question Answering

Unsupervised commonsense question answering is appealing since it does n...

0 Yilin Niu, et al. ∙

research

∙ 01/15/2021

Ensemble Learning Based Classification Algorithm Recommendation

Recommending appropriate algorithms to a classification problem is one o...

0 Guangtao Wang, et al. ∙

research

∙ 12/01/2020

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

Pre-trained Language Models (PLMs) have proven to be beneficial for vari...

4 Zhengyan Zhang, et al. ∙

research

∙ 09/24/2020

Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph

Despite the success of generative pre-trained language models on a serie...

0 Haozhe Ji, et al. ∙

research

∙ 08/10/2020

A Large-Scale Chinese Short-Text Conversation Dataset

The advancements of neural dialogue generation models show promising res...

0 Yida Wang, et al. ∙

research

∙ 06/09/2020

Knowledge-Aided Open-Domain Question Answering

Open-domain question answering (QA) aims to find the answer to a questio...

0 Mantong Zhou, et al. ∙

research

∙ 04/21/2020

Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness

Most existing approaches for goal-oriented dialogue policy learning used...

0 Zheng Zhang, et al. ∙

research

∙ 04/08/2020

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

The research of knowledge-driven conversational systems is largely limit...

3 Hao Zhou, et al. ∙

research

∙ 03/17/2020

Recent Advances and Challenges in Task-oriented Dialog System

Due to the significance and value in human-computer interaction and natu...

0 Zheng Zhang, et al. ∙

research

∙ 02/27/2020

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

To advance multi-domain (cross-domain) dialogue modeling as well as alle...

0 Qi Zhu, et al. ∙

research

∙ 02/03/2020

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

In text generation evaluation, many practical issues, such as inconsiste...

0 Fei Huang, et al. ∙

research

∙ 01/15/2020

A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

Story generation, namely generating a reasonable story from a leading co...

0 Jian Guan, et al. ∙

research

∙ 11/16/2019

Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization

In spite of great advancements of machine reading comprehension (RC), ex...

0 Mantong Zhou, et al. ∙

research

∙ 11/06/2019

SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis

Most of the existing pre-trained language representation models neglect ...

0 Pei Ke, et al. ∙

research

∙ 09/07/2019

Recognition Of Surface Defects On Steel Sheet Using Transfer Learning

Automatic defect recognition is one of the research hotspots in steel pr...

19 Jingwen Fu, et al. ∙

research

∙ 08/20/2019

ARAML: A Stable Adversarial Training Framework for Text Generation

Most of the existing generative adversarial networks (GAN) for text gene...

0 Pei Ke, et al. ∙

research

∙ 08/19/2019

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

Existing neural methods for data-to-text generation are still struggling...

0 Zhihong Shao, et al. ∙

research

∙ 05/13/2019

Challenges in Building Intelligent Open-domain Dialog Systems

There is a resurgent interest in developing intelligent open-domain dial...

5 Minlie Huang, et al. ∙

research

∙ 02/27/2019

Domain-Constrained Advertising Keyword Generation

Advertising (ad for short) keyword suggestion is important for sponsored...

0 Hao Zhou, et al. ∙

research

∙ 02/12/2019

Verification Code Recognition Based on Active and Deep Learning

A verification code is an automated test method used to distinguish betw...

0 Dongliang Xu, et al. ∙

research

∙ 11/03/2018

Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning

In this paper we address a task of relation mention extraction from nois...

0 Jun Feng, et al. ∙

research

∙ 09/17/2018

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

Ranking is a fundamental and widely studied problem in scenarios such as...

6 Jun Feng, et al. ∙

research

∙ 08/24/2018

Reinforcement Learning for Relation Classification from Noisy Data

Existing relation classification methods that rely on distant supervisio...

6 Jun Feng, et al. ∙

research

∙ 05/01/2018

Memory-augmented Dialogue Management for Task-oriented Dialogue Systems

Dialogue management (DM) decides the next action of a dialogue system ac...

0 Zheng Zhang, et al. ∙

research

∙ 01/15/2018

An Interpretable Reasoning Network for Multi-Relation Question Answering

Multi-relation Question Answering is a challenging task, due to the requ...

0 Mantong Zhou, et al. ∙

research

∙ 06/09/2017

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

Endowing a chatbot with personality or an identity is quite challenging ...

0 Qiao Qian, et al. ∙

research

∙ 04/04/2017

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

Perception and expression of emotion are key factors to the success of d...

0 Hao Zhou, et al. ∙

research

∙ 11/12/2016

Linguistically Regularized LSTMs for Sentiment Classification

Sentiment understanding has been a long-term goal of AI in the past deca...

0 Qiao Qian, et al. ∙

research

∙ 04/17/2016

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

Knowledge representation is an important, long-history topic in AI, and ...

0 Han Xiao, et al. ∙

research

∙ 12/15/2015

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

Knowledge graph embedding aims at offering a numerical knowledge represe...

0 Han Xiao, et al. ∙

research

∙ 09/18/2015

TransA: An Adaptive Approach for Knowledge Graph Embedding

Knowledge representation is a major topic in AI, and many studies attemp...

0 Han Xiao, et al. ∙

research

∙ 09/18/2015

TransG : A Generative Mixture Model for Knowledge Graph Embedding

Recently, knowledge graph embedding, which projects symbolic entities an...

0 Han Xiao, et al. ∙

Xiaoyan Zhu

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