
-
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...
read it
-
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...
read it
-
Mask-Align: Self-Supervised Neural Word Alignment
Neural word alignment methods have received increasing attention recentl...
read it
-
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
read it
-
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Backdoor attacks, which are a kind of emergent training-time threat to d...
read it
-
Denoising Relation Extraction from Document-level Distant Supervision
Distant supervision (DS) has been widely used to generate auto-labeled d...
read it
-
PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music
Definitive embeddings remain a fundamental challenge of computational mu...
read it
-
Learning from Context or Names? An Empirical Study on Neural Relation Extraction
Neural models have achieved remarkable success on relation extraction (R...
read it
-
Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
Several recent efforts have been devoted to enhancing pre-trained langua...
read it
-
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
Recommender systems aim to provide item recommendations for users, and a...
read it
-
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations
Adversarial attacking aims to fool deep neural networks with adversarial...
read it
-
OpenAttack: An Open-source Textual Adversarial Attack Toolkit
Textual adversarial attacking has received wide and increasing attention...
read it
-
Country Image in COVID-19 Pandemic: A Case Study of China
Country image has a profound influence on international relations and ec...
read it
-
Modeling Voting for System Combination in Machine Translation
System combination is an important technique for combining the hypothese...
read it
-
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
Knowledge graphs (KGs) contains an instance-level entity graph and an on...
read it
-
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
Legal Artificial Intelligence (LegalAI) focuses on applying the technolo...
read it
-
Train No Evil: Selective Masking for Task-guided Pre-training
Recently, pre-trained language models mostly follow the pre-training-the...
read it
-
Coreferential Reasoning Learning for Language Representation
Language representation models such as BERT could effectively capture co...
read it
-
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...
read it
-
Generating Major Types of Chinese Classical Poetry in a Uniformed Framework
Poetry generation is an interesting research topic in the field of text ...
read it
-
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space
As an essential step towards computer creativity, automatic poetry gener...
read it
-
Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence
Sememes, defined as the minimum semantic units of human languages in lin...
read it
-
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...
read it
-
JEC-QA: A Legal-Domain Question Answering Dataset
We present JEC-QA, the largest question answering dataset in the legal d...
read it
-
Neural Machine Translation with Explicit Phrase Alignment
While neural machine translation (NMT) has achieved state-of-the-art tra...
read it
-
CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain
In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Simila...
read it
-
Learning to Copy for Automatic Post-Editing
Automatic post-editing (APE), which aims to correct errors in the output...
read it
-
Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network
Multi-paragraph reasoning is indispensable for open-domain question answ...
read it
-
Adversarial Language Games for Advanced Natural Language Intelligence
While adversarial games have been well studied in various board games an...
read it
-
Kernel Graph Attention Network for Fact Verification
This paper presents Kernel Graph Attention Network (KGAT), which conduct...
read it
-
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
We present FewRel 2.0, a more challenging task to investigate two aspect...
read it
-
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
OpenNRE is an open-source and extensible toolkit that provides a unified...
read it
-
Using BERT for Word Sense Disambiguation
Word Sense Disambiguation (WSD), which aims to identify the correct sens...
read it
-
Improving Back-Translation with Uncertainty-based Confidence Estimation
While back-translation is simple and effective in exploiting abundant mo...
read it
-
Neural Snowball for Few-Shot Relation Learning
Knowledge graphs typically undergo open-ended growth of new relations. T...
read it
-
Explore Entity Embedding Effectiveness in Entity Retrieval
This paper explores entity embedding effectiveness in ad-hoc entity retr...
read it
-
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Fact verification (FV) is a challenging task which requires to retrieve ...
read it
-
Quantifying Similarity between Relations with Fact Distribution
We introduce a conceptually simple and effective method to quantify the ...
read it
-
Modeling Semantic Compositionality with Sememe Knowledge
Semantic compositionality (SC) refers to the phenomenon that the meaning...
read it
-
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Multiple entities in a document generally exhibit complex inter-sentence...
read it
-
COS960: A Chinese Word Similarity Dataset of 960 Word Pairs
Word similarity computation is a widely recognized task in the field of ...
read it
-
ERNIE: Enhanced Language Representation with Informative Entities
Neural language representation models such as BERT pre-trained on large-...
read it
-
Graph Neural Networks with Generated Parameters for Relation Extraction
Recently, progress has been made towards improving relational reasoning ...
read it
-
OpenHowNet: An Open Sememe-based Lexical Knowledge Base
In this paper, we present an open sememe-based lexical knowledge base Op...
read it
-
Knowledge Representation Learning: A Quantitative Review
Knowledge representation learning (KRL) aims to represent entities and r...
read it
-
COSINE: Compressive Network Embedding on Large-scale Information Networks
There is recently a surge in approaches that learn low-dimensional embed...
read it
-
Graph Neural Networks: A Review of Methods and Applications
Lots of learning tasks require dealing with graph data which contains ri...
read it
-
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
Although neural machine translation has made significant progress recent...
read it
-
Language Modeling with Sparse Product of Sememe Experts
Most language modeling methods rely on large-scale data to statistically...
read it
-
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...
read it