libing125

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

StyleAttack

Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"

HiddenKiller

Code and data of the ACL-IJCNLP 2021 paper "Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger"

P-tuning

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

semantic-parsing-dual

Source code and data for ACL 2019 Long Paper Semantic Parsing with Dual Learning.

pet

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

Few-Shot-DST

Source code for our "D-REPTILE" paper at EACL 2021

MLCSG-ACL2020

Source code of paper "Modeling Long Context for Task-Oriented Dialogue State Generation" , ACL 2020

LABES

Yichi Zhang et al. A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning. EMNLP 2020.

DF-Net

Open source code for ACL 2020 Paper "Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog"

ComerNet

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation

DialoGPT

Large-scale pretraining for dialogue

SC-GPT

Few-shot Natural Language Generation for Task-Oriented Dialog

tatk

Task-oriented dialog system toolkits

diaWAE

implementation and reproduction of "DIALOGWAE: MULTIMODAL RESPONSE GENERATION WITH CONDITIONAL WASSERSTEIN AUTO-ENCODER"

google-research

Google AI Research

trade-dst

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

SUMBT

SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking (ACL 2019)

CTEG

Code for ACL 2019 paper "Enhancing Topic-to-Essay Generation with External Commonsense Knowledge "

textExpansion

Structure_data_to_summary

Reproduce the result of "Order-Planning Neural Text Generation From Structured Data" (arxiv link:https://arxiv.org/abs/1709.00155) paper for the task of generating natural Language summary from structured data.

linguistic-style-transfer

Neural network parametrized objective to disentangle and transfer style and content in text

DS_projects

Data-driven projects repo

soot

soot

NeuralDialog-CVAE

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

SentenceFunction

Code for the paper at ACL2018

gensen

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

Linguistically-Regularized-LSTM-for-Sentiment-Classification

Paper notes: Linguistically Regularized LSTM for Sentiment Classification

ReviewSummarizer

source and data for Product Review Summarization by Exploiting Phrase Properties