document-retrieval

Compilation of Information Retrieval codes.

Retrieves the top 10 documents from the Wikipedia corpus for a user inputted free-text query

Built prediction and retrieval models for document retrieval, image retrieval, house price prediction, song recommendation, and analyzed sentiments using machine learning algorithms in Python

We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.

Neural text summarization for document retrieval

A program to construct and read an inverted index.

Machine Learning Algorithms using GraphLab

A two-stage information retrieval model using baseline TF-IDF model and refined BM25.

This project is about developing a document retrieval system to return titles and the context of scientific papers containing the answer to a given user question

This repositiory implements various concepts and algorithms of Information Retrieval such as document classification, document retrieval, positional and logical text queries, Rocchio algorithm, retrieval evaluation metric etc.

Initially implement Document-Retrieval-System with SBERT embeddings and evaluate it in CORD-19 dataset. Afterwards, fine tune BERT model with SQuAD.v2 dataset so as to evaluate it in Question Answering task.

Document retrieval from Wikipedia data using graph-lab

Code and dataset for the paper "Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness"

Using Vector Space Retreival to return documents related to a search query

These individiual projects are part of the coursework for the Coursera University of Washington course. I've also tried some fun new experiments with the data. Have fun checking them out !!

Kmeans, Kmeans++, Gaussian Mixtures

Assignment on Document Reranking

An implementation of basic IR techniques from scratch.

This Latent Semantic Indexing [ LSI ] model collects, parses, and stores documents to facilitate fast and accurate information retrieval through queries.

Elasticsearch based song lyrics search engine for Sinhala.