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12/21/2022
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?
Multilingual BERT (mBERT) has demonstrated considerable cross-lingual sy...
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10/10/2022
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
As the categories of named entities rapidly increase in real-world appli...
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06/07/2022
Searching for Optimal Subword Tokenization in Cross-domain NER
Input distribution shift is one of the vital problems in unsupervised do...
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03/27/2022
Rebuild and Ensemble: Exploring Defense Against Text Adversaries
Adversarial attacks can mislead strong neural models; as such, in NLP ta...
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10/14/2021
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models
Plug-and-play functionality allows deep learning models to adapt well to...
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10/06/2021
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Pre-trained models are widely used in fine-tuning downstream tasks with ...
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09/28/2021
Template-free Prompt Tuning for Few-shot NER
Prompt-based methods have been successfully applied in sentence-level fe...
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08/31/2021
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
Pre-Trained Models have been widely applied and recently proved vulnerab...
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06/22/2021
SENT: Sentence-level Distant Relation Extraction via Negative Training
Distant supervision for relation extraction provides uniform bag labels ...
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03/21/2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Various robustness evaluation methodologies from different perspectives ...
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04/21/2020
BERT-ATTACK: Adversarial Attack Against BERT Using BERT
Adversarial attacks for discrete data (such as text) has been proved sig...
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08/16/2019