Maosong Sun

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Tsinghua University

Professor in Department of Computer Science and Technology at Tsinghua University

Visual Distant Supervision for Scene Graph Generation

Scene graph generation aims to identify objects and their relations in i...
03/29/2021 ∙ by Yuan Yao, et al. ∙ 0 ∙ share

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Equality before the Law: Legal Judgment Consistency Analysis for Fairness

In a legal system, judgment consistency is regarded as one of the most i...
03/25/2021 ∙ by Yuzhong Wang, et al. ∙ 0 ∙ share

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Embedding Calibration for Music Semantic Similarity using Auto-regressive Transformer

One of the advantages of using natural language processing (NLP) technol...
03/13/2021 ∙ by Xinran Zhang, et al. ∙ 0 ∙ share

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Improving Diversity of Neural Text Generation via Inverse Probability Weighting

The neural network based text generation suffers from the text degenerat...
03/13/2021 ∙ by Xinran Zhang, et al. ∙ 0 ∙ share

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UPRec: User-Aware Pre-training for Recommender Systems

Existing sequential recommendation methods rely on large amounts of trai...
02/22/2021 ∙ by Chaojun Xiao, et al. ∙ 0 ∙ share

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CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models

Fine-tuning pre-trained language models (PLMs) has demonstrated its effe...
02/07/2021 ∙ by YuSheng Su, et al. ∙ 0 ∙ share

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Representation Learning for Natural Language Processing

This book aims to review and present the recent advances of distributed ...
02/07/2021 ∙ by Zhiyuan Liu, et al. ∙ 0 ∙ share

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Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks

Due to the success of pre-trained models (PTMs), people usually fine-tun...
01/18/2021 ∙ by Zhengyan Zhang, et al. ∙ 0 ∙ share

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ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

Pre-trained Language Models (PLMs) have shown strong performance in vari...
12/30/2020 ∙ by Yujia Qin, et al. ∙ 17 ∙ share

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Mask-Align: Self-Supervised Neural Word Alignment

Neural word alignment methods have received increasing attention recentl...
12/13/2020 ∙ by Chi Chen, et al. ∙ 0 ∙ share

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CPM: A Large-scale Generative Chinese Pre-trained Language Model

Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
12/01/2020 ∙ by Zhengyan Zhang, et al. ∙ 4 ∙ share

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ONION: A Simple and Effective Defense Against Textual Backdoor Attacks

Backdoor attacks, which are a kind of emergent training-time threat to d...
11/20/2020 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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Denoising Relation Extraction from Document-level Distant Supervision

Distant supervision (DS) has been widely used to generate auto-labeled d...
11/08/2020 ∙ by Chaojun Xiao, et al. ∙ 0 ∙ share

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PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music

Definitive embeddings remain a fundamental challenge of computational mu...
10/16/2020 ∙ by Hongru Liang, et al. ∙ 0 ∙ share

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Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Neural models have achieved remarkable success on relation extraction (R...
10/05/2020 ∙ by Hao Peng, et al. ∙ 0 ∙ share

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Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models

Several recent efforts have been devoted to enhancing pre-trained langua...
09/29/2020 ∙ by YuSheng Su, et al. ∙ 0 ∙ share

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Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect

Recommender systems aim to provide item recommendations for users, and a...
09/19/2020 ∙ by Zheni Zeng, et al. ∙ 0 ∙ share

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Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations

Adversarial attacking aims to fool deep neural networks with adversarial...
09/19/2020 ∙ by Yuan Zang, et al. ∙ 0 ∙ share

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OpenAttack: An Open-source Textual Adversarial Attack Toolkit

Textual adversarial attacking has received wide and increasing attention...
09/19/2020 ∙ by Guoyang Zeng, et al. ∙ 0 ∙ share

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Country Image in COVID-19 Pandemic: A Case Study of China

Country image has a profound influence on international relations and ec...
09/12/2020 ∙ by Huimin Chen, et al. ∙ 0 ∙ share

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Modeling Voting for System Combination in Machine Translation

System combination is an important technique for combining the hypothese...
07/14/2020 ∙ by Xuancheng Huang, et al. ∙ 0 ∙ share

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KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion

Knowledge graphs (KGs) contains an instance-level entity graph and an on...
04/28/2020 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence

Legal Artificial Intelligence (LegalAI) focuses on applying the technolo...
04/25/2020 ∙ by Haoxi Zhong, et al. ∙ 0 ∙ share

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Train No Evil: Selective Masking for Task-guided Pre-training

Recently, pre-trained language models mostly follow the pre-training-the...
04/21/2020 ∙ by Yuxian Gu, et al. ∙ 0 ∙ share

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Coreferential Reasoning Learning for Language Representation

Language representation models such as BERT could effectively capture co...
04/15/2020 ∙ by Deming Ye, et al. ∙ 0 ∙ share

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More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction

Relational facts are an important component of human knowledge, which ar...
04/07/2020 ∙ by Xu Han, et al. ∙ 0 ∙ share

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Generating Major Types of Chinese Classical Poetry in a Uniformed Framework

Poetry generation is an interesting research topic in the field of text ...
03/13/2020 ∙ by Jinyi Hu, et al. ∙ 0 ∙ share

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MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space

As an essential step towards computer creativity, automatic poetry gener...
03/13/2020 ∙ by Xiaoyuan Yi, et al. ∙ 0 ∙ share

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Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence

Sememes, defined as the minimum semantic units of human languages in lin...
01/16/2020 ∙ by Jiaju Du, et al. ∙ 0 ∙ share

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Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets

A sememe is defined as the minimum semantic unit of human languages. Sem...
12/04/2019 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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JEC-QA: A Legal-Domain Question Answering Dataset

We present JEC-QA, the largest question answering dataset in the legal d...
11/27/2019 ∙ by Haoxi Zhong, et al. ∙ 0 ∙ share

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Neural Machine Translation with Explicit Phrase Alignment

While neural machine translation (NMT) has achieved state-of-the-art tra...
11/26/2019 ∙ by Jiacheng Zhang, et al. ∙ 0 ∙ share

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CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain

In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Simila...
11/20/2019 ∙ by Chaojun Xiao, et al. ∙ 0 ∙ share

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Learning to Copy for Automatic Post-Editing

Automatic post-editing (APE), which aims to correct errors in the output...
11/09/2019 ∙ by Xuancheng Huang, et al. ∙ 0 ∙ share

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Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network

Multi-paragraph reasoning is indispensable for open-domain question answ...
11/06/2019 ∙ by Deming Ye, et al. ∙ 0 ∙ share

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Adversarial Language Games for Advanced Natural Language Intelligence

While adversarial games have been well studied in various board games an...
11/05/2019 ∙ by Yuan Yao, et al. ∙ 0 ∙ share

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Kernel Graph Attention Network for Fact Verification

This paper presents Kernel Graph Attention Network (KGAT), which conduct...
10/22/2019 ∙ by Zhenghao Liu, et al. ∙ 0 ∙ share

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FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

We present FewRel 2.0, a more challenging task to investigate two aspect...
10/16/2019 ∙ by Tianyu Gao, et al. ∙ 0 ∙ share

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OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction

OpenNRE is an open-source and extensible toolkit that provides a unified...
09/28/2019 ∙ by Xu Han, et al. ∙ 0 ∙ share

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Using BERT for Word Sense Disambiguation

Word Sense Disambiguation (WSD), which aims to identify the correct sens...
09/18/2019 ∙ by Jiaju Du, et al. ∙ 0 ∙ share

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Improving Back-Translation with Uncertainty-based Confidence Estimation

While back-translation is simple and effective in exploiting abundant mo...
08/31/2019 ∙ by Shuo Wang, et al. ∙ 0 ∙ share

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Neural Snowball for Few-Shot Relation Learning

Knowledge graphs typically undergo open-ended growth of new relations. T...
08/29/2019 ∙ by Tianyu Gao, et al. ∙ 0 ∙ share

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Explore Entity Embedding Effectiveness in Entity Retrieval

This paper explores entity embedding effectiveness in ad-hoc entity retr...
08/28/2019 ∙ by Zhenghao Liu, et al. ∙ 0 ∙ share

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GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

Fact verification (FV) is a challenging task which requires to retrieve ...
07/22/2019 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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Quantifying Similarity between Relations with Fact Distribution

We introduce a conceptually simple and effective method to quantify the ...
07/21/2019 ∙ by Weize Chen, et al. ∙ 0 ∙ share

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Modeling Semantic Compositionality with Sememe Knowledge

Semantic compositionality (SC) refers to the phenomenon that the meaning...
07/10/2019 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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DocRED: A Large-Scale Document-Level Relation Extraction Dataset

Multiple entities in a document generally exhibit complex inter-sentence...
06/14/2019 ∙ by Yuan Yao, et al. ∙ 0 ∙ share

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COS960: A Chinese Word Similarity Dataset of 960 Word Pairs

Word similarity computation is a widely recognized task in the field of ...
06/01/2019 ∙ by Junjie Huang, et al. ∙ 0 ∙ share

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ERNIE: Enhanced Language Representation with Informative Entities

Neural language representation models such as BERT pre-trained on large-...
05/17/2019 ∙ by Zhengyan Zhang, et al. ∙ 0 ∙ share

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Graph Neural Networks with Generated Parameters for Relation Extraction

Recently, progress has been made towards improving relational reasoning ...
02/02/2019 ∙ by Yankai Lin, et al. ∙ 0 ∙ share

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Maosong Sun

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