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Awesome Pretrained Models For Information Retrieval ⭐ 564

A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).

Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track (SIGIR 2021 Full Paper).

Repbert Index ⭐ 47

RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings. The inner products of them are regarded as relevance scores. Its efficiency is comparable to bag-of-words methods.

Domain_discovery_tool ⭐ 47

This repository contains the Domain Discovery Tool (DDT) project. DDT is an interactive system that helps users explore and better understand a domain (or topic) as it is represented on the Web.

CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.

Information Retrieval And Web Search Assignments ⭐ 5

This repository contains all the assignments for the Information Retrieval and Web Search course lectured by Prof. Muharram Mansoorizadeh at Bu-Ali Sina University.

Related Searches

Python Information Retrieval (339)

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