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05/11/2023
WebCPM: Interactive Web Search for Chinese Long-form Question Answering
Long-form question answering (LFQA) aims at answering complex, open-ende...
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10/19/2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
Textual adversarial samples play important roles in multiple subfields o...
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03/14/2022
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information
In linguistics, a sememe is defined as the minimum semantic unit of lang...
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02/26/2022
QuoteR: A Benchmark of Quote Recommendation for Writing
It is very common to use quotations (quotes) to make our writings more e...
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10/15/2021
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
Backdoor attacks are a kind of emergent security threat in deep learning...
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10/14/2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
Adversarial attacks and backdoor attacks are two common security threats...
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06/11/2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution
Recent studies show that neural natural language processing (NLP) models...
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06/03/2021
CCPM: A Chinese Classical Poetry Matching Dataset
Poetry is one of the most important art forms of human languages. Recent...
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06/01/2021
SHUOWEN-JIEZI: Linguistically Informed Tokenizers For Chinese Language Model Pretraining
Conventional tokenization methods for Chinese pretrained language models...
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05/26/2021
Automatic Construction of Sememe Knowledge Bases via Dictionaries
A sememe is defined as the minimum semantic unit in linguistics. Sememe ...
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05/26/2021
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
Backdoor attacks are a kind of insidious security threat against machine...
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01/18/2021
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...
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12/01/2020
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
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11/20/2020
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Backdoor attacks, which are a kind of emergent training-time threat to d...
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09/19/2020
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations
Adversarial attacking aims to fool deep neural networks with adversarial...
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09/19/2020
OpenAttack: An Open-source Textual Adversarial Attack Toolkit
Textual adversarial attacking has received wide and increasing attention...
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09/12/2020
Country Image in COVID-19 Pandemic: A Case Study of China
Country image has a profound influence on international relations and ec...
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01/16/2020
Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence
Sememes, defined as the minimum semantic units of human languages in lin...
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12/04/2019
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...
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09/18/2019
Using BERT for Word Sense Disambiguation
Word Sense Disambiguation (WSD), which aims to identify the correct sens...
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07/10/2019
Modeling Semantic Compositionality with Sememe Knowledge
Semantic compositionality (SC) refers to the phenomenon that the meaning...
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06/01/2019
COS960: A Chinese Word Similarity Dataset of 960 Word Pairs
Word similarity computation is a widely recognized task in the field of ...
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01/28/2019