b'Ming Gong'

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach

Producing the embedding of a sentence in an unsupervised way is valuable...
04/05/2021 ∙ by Junjie Huang, et al. ∙ 0 ∙ share

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Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model

Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...
02/22/2021 ∙ by Junwei Liao, et al. ∙ 10 ∙ share

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Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders

Recently, universal neural machine translation (NMT) with shared encoder...
02/12/2021 ∙ by Junwei Liao, et al. ∙ 12 ∙ share

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Syntax-Enhanced Pre-trained Model

We study the problem of leveraging the syntactic structure of text to en...
12/28/2020 ∙ by Zenan Xu, et al. ∙ 0 ∙ share

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Reinforced Multi-Teacher Selection for Knowledge Distillation

In natural language processing (NLP) tasks, slow inference speed and hug...
12/11/2020 ∙ by Fei Yuan, et al. ∙ 0 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Ming Gong

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