Maosong Sun

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Tsinghua University

Professor in Department of Computer Science and Technology at Tsinghua University

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. ∙ 16 ∙ 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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OpenHowNet: An Open Sememe-based Lexical Knowledge Base

In this paper, we present an open sememe-based lexical knowledge base Op...
01/28/2019 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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Knowledge Representation Learning: A Quantitative Review

Knowledge representation learning (KRL) aims to represent entities and r...
12/28/2018 ∙ by Yankai Lin, et al. ∙ 0 ∙ share

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COSINE: Compressive Network Embedding on Large-scale Information Networks

There is recently a surge in approaches that learn low-dimensional embed...
12/21/2018 ∙ by Zhengyan Zhang, et al. ∙ 0 ∙ share

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Graph Neural Networks: A Review of Methods and Applications

Lots of learning tasks require dealing with graph data which contains ri...
12/20/2018 ∙ by Jie Zhou, et al. ∙ 62 ∙ share

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Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization

Although neural machine translation has made significant progress recent...
11/02/2018 ∙ by Jiacheng Zhang, et al. ∙ 0 ∙ share

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Language Modeling with Sparse Product of Sememe Experts

Most language modeling methods rely on large-scale data to statistically...
10/29/2018 ∙ by Yihong Gu, et al. ∙ 0 ∙ share

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FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

We present a Few-Shot Relation Classification Dataset (FewRel), consisti...
10/24/2018 ∙ by Xu Han, et al. ∙ 0 ∙ share

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Maosong Sun

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