Daya Guo

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SUN YAT-SEN UNIVERSITY

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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CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Evaluation metrics play a vital role in the growth of an area as it defi...
09/22/2020 ∙ by Shuo Ren, et al. ∙ 0 ∙ share

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GraphCodeBERT: Pre-training Code Representations with Data Flow

Pre-trained models for programming language have achieved dramatic empir...
09/17/2020 ∙ by Daya Guo, et al. ∙ 0 ∙ share

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Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder

Generating inferential texts about an event in different perspectives re...
06/15/2020 ∙ by Daya Guo, 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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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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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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Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base

We consider the problem of conversational question answering over a larg...
10/11/2019 ∙ by Tao Shen, 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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Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

In this paper, we present an approach to incorporate retrieved datapoint...
06/17/2019 ∙ by Daya Guo, et al. ∙ 0 ∙ share

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Knowledge Based Machine Reading Comprehension

Machine reading comprehension (MRC) requires reasoning about both the kn...
09/12/2018 ∙ by Yibo Sun, et al. ∙ 0 ∙ share

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Question Generation from SQL Queries Improves Neural Semantic Parsing

We study how to learn a semantic parser of state-of-the-art accuracy wit...
08/20/2018 ∙ by Daya Guo, et al. ∙ 0 ∙ share

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Daya Guo

Featured Co-authors

Ting Liu

Ming Zhou

Tao Qin

Nan Duan

Guodong Long

Daxin Jiang

Bing Qin

Duyu Tang

Shujie Liu

Ming Gong

Jingjing Xu

Syntax-Enhanced Pre-trained Model

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

GraphCodeBERT: Pre-training Code Representations with Data Flow

Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder

Pre-training Text Representations as Meta Learning

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning

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

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base

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

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

Knowledge Based Machine Reading Comprehension

Question Generation from SQL Queries Improves Neural Semantic Parsing