Pinned Repositories
2019-false-news-detection-challenge
智源研究院&中科院计算所-互联网虚假新闻检测挑战赛
adan
Language-Adversarial Training for Cross-Lingual Text Classification (TACL)
EMET
fakenewschallenge
UCL Machine Reading - FNC-1 Submission
fnc-1-baseline
A baseline implementation for FNC-1
GateMemN2N
Implementation of Gated End-to-End Memory Networks with sklearn-like interface using Tensorflow. Tasks are from the bAbl dataset.
mling_sdgms
NSP-BERT
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
Stance-Hierarchies
StructurePrediction18
Code for doing Argument Structure Prediction using Residual Networks and (almost) without symbolic features
paper-NLP's Repositories
paper-NLP/mling_sdgms
paper-NLP/NSP-BERT
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
paper-NLP/StructurePrediction18
Code for doing Argument Structure Prediction using Residual Networks and (almost) without symbolic features
paper-NLP/arabic-nlp-da
paper-NLP/ASM
( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
paper-NLP/Automated-Fact-Checking-Resources
Links to conference/journal publications in automated fact-checking (resources for the TACL21 paper).
paper-NLP/CLKD
Cross-lingual Knowledge Distillation framework
paper-NLP/coling2018_fake-news-challenge
paper-NLP/CrossFake
A cross-lingual COVID-19 fake news dataset
paper-NLP/CrossFit
Code for paper "CrossFit :weight_lifting:: A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)
paper-NLP/Datawhale_notes-
记录我参加的Datawhale组队学习，包括笔记和习题解答
paper-NLP/DSRAN
Code for journal paper "Learning Dual Semantic Relations with Graph Attention for Image-Text Matching", TCSVT, 2020.
paper-NLP/en-cy-bilingual-embeddings
paper-NLP/GraphLoG
Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
paper-NLP/Graphormer
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material discovery, drug discovery, etc.
paper-NLP/icann2021-unsupervised-language-adaptation
Code for the ICANN 2021 paper "Improving Transfer Learning in Unsupervised Language Adaptation"
paper-NLP/Inductive-representation-learning-on-temporal-graphs
paper-NLP/LOANT
code for NAACL 2021 paper "Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection"
paper-NLP/nlp4if-2021
Cross-lingual misinformation detection
paper-NLP/P-tuning-v2
An optimized prompt tuning strategy comparable to fine-tuning across model scales and tasks.
paper-NLP/PCS-FUDA
Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"
paper-NLP/rumor-fake-news-papers
🚨 Rumor, Fake News, Misinformation Papers
paper-NLP/scrapy-aaai-2021
AAAI 2021 CRAWER
paper-NLP/SentimentAnalyserSLHRNews
paper-NLP/StyleAttack
Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"
paper-NLP/TextGenresAttack
paper-NLP/Transliteration-Hindi-Malayalam
Cross-Lingual Text Classification of TransliteratedHindi and Malayalam
paper-NLP/unify-parameter-efficient-tuning
Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning"
paper-NLP/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
paper-NLP/xtreme
XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.