Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

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

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.

[EXTRACT][RETRIEVAL][METRIC]A Simple Framework for Image Retrieval

🌄 Search images through text by writing a caption or a description. You will be intelligently assisted while typing.

Query Expansion via thesaurus

This project aims to analyze the sentiment about IKN (Ibu Kota Negara), the New National Capital in Indonesia. Data is obtained through crawling Twitter data related to IKN discussion topics. Furthermore, the data is analyzed using the SVM classification method by combining it with the Query Expansion technique to produce better model performance.

Automated Query Expansion using High Dimensional Clustering

Source code for Xu: An Automated Query Expansion and Optimization Tool. Published IEEE COMPSAC 2019.

EE448 Big Data Mining Project: Query Expansion with Rocchio Algorithm & Document Ranking with BM25 Score

The replication package for EMSE 2019 submission

SIR is a sense-enhanced Information Retrieval system for multiple languages (EMNLP2021).

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.

A search engine built to retrieve geographical information of any country.

A basic search engine to index a corpus for searching and rank the document data set.

Design and compare the performances of Information Retrieval Models of TF-IDF, Cosine Similarity, BM25. Implemented query expansion using psuedo relevance feedback to display better results.