neural-ranking topic

Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch

sebastian-hofstaetter

This is our solution for WSDM - DiggSci 2020. We implemented a simple yet robust search pipeline which ranked 2nd in the validation set and 4th in the test set. We won the gold prize at innovation tra...

chengxuanying

code and data to faciliate BERT/ELECTRA for document ranking. Details refer to the paper - PARADE: Passage Representation Aggregation for Document Reranking.

canjiali

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the f...

chengxuanying

WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

jingtaozhan

An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.

jingtaozhan

Deep Learning Hard (DL-HARD) is a new annotated dataset extending TREC Deep Learning benchmark.

grill-lab

CODEC is a document and entity ranking dataset that focuses on complex essay-style topics.

grill-lab