[NAACL 2018] Robust Sequence Labeling with Adversarial Training
APACHE-2.0 License
Statistics for this project are still being loaded, please check back later.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Must-read Papers on Textual Adversarial Attack and Defense
A neural network model for Chinese named entity recognition
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's...
Contains materials for workshops pertaining to adversarial robustness in deep learning.
GLM (General Language Model)
Sequence to Sequence from Scratch Using Pytorch
Awesome Domain Adaptation Python Toolbox
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation)...
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model trainin...
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
code for the ICLR'22 paper: On Robust Prefix-Tuning for Text Classification
Macadam是一个以Tensorflow(Keras)和bert4keras为基础,专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT...
[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining