Ming Gong

CalibreNet: Calibration Networks for Multilingual Sequence Labeling

Lack of training data in low-resource languages presents huge challenges...
11/11/2020 ∙ by Shining Liang, et al. ∙ 0 ∙ share

read it
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation

Cross-lingual Machine Reading Comprehension (CLMRC) remains a challengin...
10/27/2020 ∙ by Junhao Liu, et al. ∙ 0 ∙ share

read it
A Graph Representation of Semi-structured Data for Web Question Answering

The abundant semi-structured data on the Web, such as HTML-based tables ...
10/14/2020 ∙ by Xingyao Zhang, et al. ∙ 0 ∙ share

read it
Experimental Quantum Generative Adversarial Networks for Image Generation

Quantum machine learning is expected to be one of the first practical ap...
10/13/2020 ∙ by He-Liang Huang, et al. ∙ 0 ∙ share

read it
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension

Span extraction is an essential problem in machine reading comprehension...
09/29/2020 ∙ by Huaishao Luo, et al. ∙ 0 ∙ share

read it
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension

The Natural Questions (NQ) benchmark set brings new challenges to Machin...
09/25/2020 ∙ by Xuguang Wang, et al. ∙ 0 ∙ share

read it
Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding

Question Aware Open Information Extraction (Question aware Open IE) take...
09/16/2020 ∙ by Martin Kuo, et al. ∙ 6 ∙ share

read it
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering

Training and refreshing a web-scale Question Answering (QA) system for a...
06/13/2020 ∙ by Linjun Shou, et al. ∙ 0 ∙ share

read it
Mining Implicit Relevance Feedback from User Behavior forWeb Question Answering

Training and refreshing a web-scale Question Answering (QA) system for a...
06/13/2020 ∙ by Linjun Shou, et al. ∙ 0 ∙ share

read it
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension

Multilingual pre-trained models could leverage the training data from a ...
04/29/2020 ∙ by Fei Yuan, et al. ∙ 0 ∙ share

read it
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network

Verifying the correctness of a textual statement requires not only seman...
04/28/2020 ∙ by Wanjun Zhong, et al. ∙ 0 ∙ share

read it
Pre-training Text Representations as Meta Learning

Pre-training text representations has recently been shown to significant...
04/12/2020 ∙ by Shangwen Lv, et al. ∙ 0 ∙ share

read it
Improving Readability for Automatic Speech Recognition Transcription

Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...
04/09/2020 ∙ by Junwei Liao, et al. ∙ 0 ∙ share

read it
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning

We study the problem of generating inferential texts of events for a var...
04/07/2020 ∙ by Daya Guo, et al. ∙ 9 ∙ share

read it
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

In this paper, we introduce XGLUE, a new benchmark dataset to train larg...
04/03/2020 ∙ by Yaobo Liang, et al. ∙ 0 ∙ share

read it
TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images

Line segment detection is an essential task in computer vision and image...
02/27/2020 ∙ by Ming Gong, et al. ∙ 4 ∙ share

read it
CodeBERT: A Pre-Trained Model for Programming and Natural Languages

We present CodeBERT, a bimodal pre-trained model for programming languag...
02/19/2020 ∙ by Zhangyin Feng, et al. ∙ 0 ∙ share

read it
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System

Deep pre-training and fine-tuning models (such as BERT and OpenAI GPT) h...
10/18/2019 ∙ by Ze Yang, et al. ∙ 0 ∙ share

read it
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

Commonsense question answering aims to answer questions which require ba...
09/09/2019 ∙ by Shangwen Lv, et al. ∙ 0 ∙ share

read it
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks

We present Unicoder, a universal language encoder that is insensitive to...
09/03/2019 ∙ by Haoyang Huang, et al. ∙ 0 ∙ share

read it
Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System

Deep pre-training and fine-tuning models (like BERT, OpenAI GPT) have de...
04/21/2019 ∙ by Ze Yang, et al. ∙ 0 ∙ share

read it
NeuronBlocks -- Building Your NLP DNN Models Like Playing Lego

When building deep neural network models for natural language processing...
04/21/2019 ∙ by Ming Gong, et al. ∙ 0 ∙ share

read it
Pretraining-Based Natural Language Generation for Text Summarization

In this paper, we propose a novel pretraining-based encoder-decoder fram...
02/25/2019 ∙ by Haoyu Zhang, et al. ∙ 8 ∙ share

read it
Naturally Combined Shape-Color Moment Invariants under Affine Transformations

We proposed a kind of naturally combined shape-color affine moment invar...
05/31/2017 ∙ by Ming Gong, et al. ∙ 0 ∙ share

read it

Ming Gong

Featured Co-authors

Dacheng Tao

Ting Liu

Ming Zhou

Fan Yang

Tongliang Liu

Nan Duan

Daxin Jiang

Peng Chen

Bing Qin

Duyu Tang

Min Yang

CalibreNet: Calibration Networks for Multilingual Sequence Labeling

Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation

A Graph Representation of Semi-structured Data for Web Question Answering

Experimental Quantum Generative Adversarial Networks for Image Generation

MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension

No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension

Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding

Mining Implicit Relevance Feedback from User Behavior for Web Question Answering

Mining Implicit Relevance Feedback from User Behavior forWeb Question Answering

Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension

LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network

Pre-training Text Representations as Meta Learning

Improving Readability for Automatic Speech Recognition Transcription

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks

Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System

NeuronBlocks -- Building Your NLP DNN Models Like Playing Lego

Pretraining-Based Natural Language Generation for Text Summarization

Naturally Combined Shape-Color Moment Invariants under Affine Transformations