Implementation query expansion in semantic meta-search engine. The resulting expansion system is called Wiki-MetaSemantik.
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Updated
Feb 10, 2019 - Python
Implementation query expansion in semantic meta-search engine. The resulting expansion system is called Wiki-MetaSemantik.
Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".
Query Expension for Better Query Embedding using LLMs
The replication package for EMSE 2019 submission
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
SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model
A search engine built to retrieve geographical information of any country.
Query Expansion via thesaurus
Automated Query Expansion using High Dimensional Clustering
Code for the ACL 2023 long paper - Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
Search engine optimisation using the Lucene 7.2.1 API
Group Project for CS7IS3 Assignment 2
Naver AI Hackathon 2018 : Image Retrieval Challenge
Translating JSON into Solr requests with support for sharding, mtas, caching and query expansion
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.
An advanced information retrieval system using TF-IDF, BM25, and query expansion (RM3) for accurate document search and ranking. Features NLP models (Elmo, BERT) for enhanced semantic understanding. Includes a Flask UI with Ngrok for Colab, allowing query input, result exploration, and performance evaluation.
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A Benchmark Workflow and Dataset Collection for Query Refinement
In this repository are some files from a study on how to support cross-language recommendations for an existing research paper recommender system. We focused on German, English and Spanish. Latent semantic indexing and a framework for automatic translation (enriched with query reformulation and semantic query expansion) were studied. This was a …
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