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

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.

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)

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

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