SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model
-
Updated
Aug 2, 2017 - Python
SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model
Code pertaining to the paper: "Reducing Bias in Online Datasets"
CS 582 Information Retrieval at University of Illinois at Chicago. Multithreaded crawling of UIC domain, inverted index, page rank, SEO with Context Pseudo-Relevance Feedback
Implementation query expansion in semantic meta-search engine. The resulting expansion system is called Wiki-MetaSemantik.
Query Expansion via thesaurus
Naver AI Hackathon 2018 : Image Retrieval Challenge
A search engine built to retrieve geographical information of any country.
Implementation of Probabilistic Retrieval Query expansion and Relevance Model based Language Modelling aimed at improving the precision of results using pseudo-relevance feedback in Information Retrieval.
Search engine specifically targeted to Olympics
Document summarisation and query expansion
Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".
SIR is a sense-enhanced Information Retrieval system for multiple languages (EMNLP2021).
TTDS 2022/23. Course page: https://www.inf.ed.ac.uk/teaching/courses/tts/
A basic search engine to index a corpus for searching and rank the document data set.
A python program for indexing documents and querying them with expansion over Elasticsearch engine
Multi-stage Retrieval using SPLADE or RM3 and T5.
Code for the ACL 2023 long paper - Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
A Benchmark Workflow and Dataset Collection for Query Refinement
Advanced DB Project 1
Add a description, image, and links to the query-expansion topic page so that developers can more easily learn about it.
To associate your repository with the query-expansion topic, visit your repo's landing page and select "manage topics."