5 results found Sort:

sebastian-hofstaetter
matchmaker sebastian-hofstaetter
30
261
apache-2.0
7
Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch
dpr pytorch neural-ir efficiency transformer explainability neural-ranking knowledge-distillation
Created 2019-10-30
12 commits to master branch, last one 3 years ago
jingtaozhan
RepCONC jingtaozhan
13
118
mit
4
WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
efficiency neural-ranking dense-retrieval product-quantization information-retrieval
Created 2021-10-12
52 commits to main branch, last one 2 years ago
canjiali
PARADE canjiali
10
97
apache-2.0
3
code and data to faciliate BERT/ELECTRA for document ranking. Details refer to the paper - PARADE: Passage Representation Aggregation for Document Reranking.
bert ranking transformers neural-ranking document-reranking information-retrieval
Created 2020-05-26
55 commits to master branch, last one 4 years ago
jingtaozhan
disentangled-retriever jingtaozhan
5
59
mit
2
An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.
splade colbert unicoil reranker neural-ranking dense-retrieval domain-adaption
Created 2022-08-10
63 commits to main branch, last one 2 years ago
grill-lab
DL-Hard grill-lab
4
36
unknown
5
Deep Learning Hard (DL-HARD) is a new annotated dataset extending TREC Deep Learning benchmark.
trec search entities benchmark annotations neural-ranking sota-entity-linkers information-retrieval
Created 2021-03-02
81 commits to main branch, last one 2 years ago