The Tensorflow implementation of accepted ACL 2018 paper "A deep relevance model for zero-shot document filtering", Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen, http://aclweb.org/anthology/P18-1214

Pytorch implementation of CACM (WSDM'20)

Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering

ir_explain: a Python Library of Explainable IR Methods

An information retrieval system for document ranking. Implementation and evaluation of Okapi BM25, Cosine Similarity, and Language Models for document ranking and retrieval. Includes precision-recall evaluation metrics and a detailed project report.

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

🔝 HW1 of Intelligent Information Retrieval MSc Course ECE@UT

𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 | 𝗖𝗦𝟲𝟬𝟬𝟵𝟮 | 𝗕𝗼𝗼𝗹-𝗦𝗲𝗮𝗿𝗰𝗵, 𝗥𝗮𝗻𝗸𝗲𝗿, 𝗪𝗼𝗿𝗱𝗡𝗲𝘁 𝗦𝘂𝗺𝗺𝗮𝗿𝗶𝘇𝗲𝗿

This repo contains mini projects in Information Retrieval. Covers indexing, document ranking, web crawling, page ranking, and evaluating different models

😷 Attempt on deep learning track challenge in TREC 2019 - https://microsoft.github.io/TREC-2019-Deep-Learning/

Scikit-learn implementation of co-occurrence word graph based semantic query search using machine learning and vector space similarity measures.

Probabilistic Reasoning and Bayes Rule; Text Data Analysis; Document Ranking and Evaluation.

TinyBERT-based bi-encoder, cross-encoder, and poly-encoder trained on MS MACRO for passage re-ranking

Created a document ranking system with Boolean, probabilistic, and vector space models (Okapi BM25).

Implement the Pivoted Normalization and BM25 Retrieval Functions

Galago related homeworks of Information Retrieval Course

This project implements a Document Retrieval System that integrates GPT-3.5-turbo for query expansion and answer generation. It fetches and ranks documents based on user queries, leveraging MongoDB for document storage, Redis for caching, and web scraping to keep documents updated. The system is designed to provide fast and accurate search results

A search engine that ranks documents by relevance to a query using a weighting scheme, tokenization, stop word removal, and stemming

Assignment Submission for course Information Retrieval (CS F469)

Évaluation de la pertinence (question ↔ article juridique) en français. Pipeline complet (prépa → modèles → soumission) avec CamemBERT en bi-encodeur calibré (MSE/Spearman), + variantes cross-encoder.