Ramsey's repositories
A-Dynamic-Meta-Learning-Model-for-Time-Sensitive-Cold-Start-Recommendations
A novel dynamic recommendation model that focuses on users who have interactions in the past but turn relatively inactive recently
biaffine-ner
Named Entity Recognition as Dependency Parsing
causal-inspection
A Scikit-learn inspired inspection module for causal models.
cfor
Scala cfor macro, like a java for-loop
DeBERTa
飞浆论文复现
DRL-1
Deep Reinforcement Learning
easy-bert
A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)
Event-Extraction
近年来事件抽取方法总结，包括中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取等类型，DMCNN、FramNet、DLRNN、DBRNN、GCN、DAG-GRU、JMEE、PLMEE等方法
galileo
Galileo library for large scale graph training by JD
Graph4DIV
SIGIR 2021: Modeling Intent Graph for Search Result Diversification
HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).
LibRerank
LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EGRerank, Seq2Slate.
MAVE
The dataset contains 3 million attribute-value annotations across 1257 unique categories on 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.
NNR
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding
product_attribute_summary
product automatic attributes discovery and summary
query2labels
Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".
rasa_nlu_gq
turn natural language into structured data(支持中文，自定义了N种模型，支持不同的场景和任务)
RL4Rec
A toolkit of Reinforcement Learning based Recommendation (RL4Rec)
sccl
Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021
SHPJF
[DASFAA22] Official PyTorch implementation for "Leveraging Search History for Improving Person-Job Fit".
WSDM2021_NSM
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021.
XRec
Models for explainable recommendation.