Zhijing Jin

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MIT ∙ The University of Hong Kong

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Cycle-consistent training is widely used for jointly learning a forward ...
12/14/2020 ∙ by Qipeng Guo, et al. ∙ 10 ∙ share

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Deep Learning for Text Attribute Transfer: A Survey

Driven by the increasingly larger deep learning models, neural language ...
11/01/2020 ∙ by Di Jin, et al. ∙ 13 ∙ share

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Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) aims to predict the sentiment tow...
09/16/2020 ∙ by Xiaoyu Xing, et al. ∙ 0 ∙ share

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CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

Two important tasks at the intersection of knowledge graphs and natural ...
06/08/2020 ∙ by Qipeng Guo, et al. ∙ 10 ∙ share

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Relation of the Relations: A New Paradigm of the Relation Extraction Problem

In natural language, often multiple entities appear in the same text. Ho...
06/05/2020 ∙ by Zhijing Jin, et al. ∙ 0 ∙ share

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Hooks in the Headline: Learning to Generate Headlines with Controlled Styles

Current summarization systems only produce plain, factual headlines, but...
04/04/2020 ∙ by Di Jin, et al. ∙ 9 ∙ share

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Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation

State-of-the-art neural machine translation (NMT) systems are data-hungr...
01/22/2020 ∙ by Di Jin, et al. ∙ 0 ∙ share

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Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment

Machine learning algorithms are often vulnerable to adversarial examples...
07/27/2019 ∙ by Di Jin, et al. ∙ 0 ∙ share

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Unsupervised Text Style Transfer via Iterative Matching and Translation

Text style transfer seeks to learn how to automatically rewrite sentence...
01/31/2019 ∙ by Zhijing Jin, et al. ∙ 28 ∙ share

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GraphIE: A Graph-Based Framework for Information Extraction

Most modern Information Extraction (IE) systems are implemented as seque...
10/31/2018 ∙ by Yujie Qian, et al. ∙ 0 ∙ share

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3D Traffic Simulation for Autonomous Vehicles in Unity and Python

Over the recent years, there has been an explosion of studies on autonom...
10/30/2018 ∙ by Zhijing Jin, et al. ∙ 24 ∙ share

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Zhijing Jin

Featured Co-authors

Jun Zhu

Zheng Zhang

Weinan Zhang

Qi Zhang

Xipeng Qiu

Xuanjing Huang

Ramesh Raskar

Regina Barzilay

Rada Mihalcea

Ziyu Wang

Joey Tianyi Zhou

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Deep Learning for Text Attribute Transfer: A Survey

Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

Relation of the Relations: A New Paradigm of the Relation Extraction Problem

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles

Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation

Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment

Unsupervised Text Style Transfer via Iterative Matching and Translation

GraphIE: A Graph-Based Framework for Information Extraction

3D Traffic Simulation for Autonomous Vehicles in Unity and Python