fssqawj

SentenceSim

中文短文句相似读

QAServer

QA Server Based Chinese CQA Site

classification_task

CNLI

Baseline for the CNLI corpus

toutiao-multilevel-text-classfication-dataset

今日头条中文新闻文本(多层)分类数据集

cmrc2017

The 1st Chinese Machine Reading Comprehension (CMRC2017)

pytools

python tools

bert

TensorFlow code and pre-trained models for BERT

BERT-pytorch

Google AI 2018 BERT pytorch implementation

bitcoin

Bitcoin Core integration/staging tree

chinese-xinhua

中华新华字典数据库。包括歇后语，成语，词语，汉字。提供新华字典API。

darts

Differentiable architecture search for convolutional and recurrent networks

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fssqawj.github.io

insuranceqa-corpus-zh

机器学习保险行业问答开放数据集

jcuda

JCuda - Java bindings for CUDA

KEAR

Official code for achieving human parity on CommonsenseQA with External Attention

KRLPapers

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

multi-threading-processing-dataloader

This is a multithreaded data_loader, which parallelizes the processing of data loading and model training

multiwoz

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

OpenBookQA

Code for experiments on OpenBookQA from the EMNLP 2018 paper "Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering"

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）

PaperReading

QuestionAnalyze

Question to Query Triple

ranking_clarification_questions

Code and Data for the paper: "Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information"

seminar

antnlp seminar materials

spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

trade-dst

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