Dongmei Zhang

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Microsoft ∙ University of Newcastle ∙ Peking University

Table2Charts: Learning Shared Representations for Recommending Charts on Multi-dimensional Data

It is common for people to create different types of charts to explore a...
08/24/2020 ∙ by Mengyu Zhou, et al. ∙ 0 ∙ share

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Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics

Infographic is a data visualization technique which combines graphic and...
07/31/2020 ∙ by Chunyao Qian, et al. ∙ 0 ∙ share

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Compositional Generalization by Learning Analytical Expressions

Compositional generalization is a basic but essential intellective capab...
06/18/2020 ∙ by Qian Liu, et al. ∙ 0 ∙ share

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You Impress Me: Dialogue Generation via Mutual Persona Perception

Despite the continuing efforts to improve the engagingness and consisten...
04/11/2020 ∙ by Qian Liu, et al. ∙ 6 ∙ share

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How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context

Recently semantic parsing in context has received a considerable attenti...
02/03/2020 ∙ by Qian Liu, et al. ∙ 0 ∙ share

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A Hybrid Semantic Parsing Approach for Tabular Data Analysis

This paper presents a novel approach to translating natural language que...
10/23/2019 ∙ by Yan Gao, et al. ∙ 0 ∙ share

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AnnaParser: Semantic Parsing for Tabular Data Analysis

This paper presents a novel approach to translating natural language que...
10/23/2019 ∙ by Yan Gao, et al. ∙ 0 ∙ share

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A Split-and-Recombine Approach for Follow-up Query Analysis

Context-dependent semantic parsing has proven to be an important yet cha...
09/19/2019 ∙ by Qian Liu, et al. ∙ 5 ∙ share

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Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements

Combining data content with visual embellishments, infographics can effe...
07/22/2019 ∙ by Weiwei Cui, et al. ∙ 0 ∙ share

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Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation

We present a neural approach called IRNet for complex and cross-domain T...
05/20/2019 ∙ by Jiaqi Guo, et al. ∙ 0 ∙ share

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FANDA: A Novel Approach to Perform Follow-up Query Analysis

Recent work on Natural Language Interfaces to Databases (NLIDB) has attr...
01/24/2019 ∙ by Qian Liu, et al. ∙ 8 ∙ share

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QuanFuzz: Fuzz Testing of Quantum Program

Nowadays, quantum program is widely used and quickly developed. However,...
10/16/2018 ∙ by Jiyuan Wang, et al. ∙ 0 ∙ share

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Automated Refactoring of Nested-IF Formulae in Spreadsheets

Spreadsheets are the most popular end-user programming software, where f...
12/28/2017 ∙ by Jie Zhang, et al. ∙ 0 ∙ share

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DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning

Computer programs written in one language are often required to be porte...
04/25/2017 ∙ by Xiaodong Gu, et al. ∙ 0 ∙ share

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Deep API Learning

Developers often wonder how to implement a certain functionality (e.g., ...
05/27/2016 ∙ by Xiaodong Gu, et al. ∙ 0 ∙ share

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Dongmei Zhang

Featured Co-authors

Ting Liu

Jie Zhang

Lu Zhang

Nanning Zheng

Yue Gao

Yu Jiang

He Huang

Xiaoyu Zhang

Yun Wang

Bei Chen

Jian-Guang Lou

Table2Charts: Learning Shared Representations for Recommending Charts on Multi-dimensional Data

Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics

Compositional Generalization by Learning Analytical Expressions

You Impress Me: Dialogue Generation via Mutual Persona Perception

How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context

A Hybrid Semantic Parsing Approach for Tabular Data Analysis

AnnaParser: Semantic Parsing for Tabular Data Analysis

A Split-and-Recombine Approach for Follow-up Query Analysis

Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements

Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation

FANDA: A Novel Approach to Perform Follow-up Query Analysis

QuanFuzz: Fuzz Testing of Quantum Program

Automated Refactoring of Nested-IF Formulae in Spreadsheets

DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning

Deep API Learning