aditeyabaral / doc2sim

A simple command line utility to find similarity in content between documents using Doc2Vec.

Hello, I am Aditeya

I am an aspiring NLP researcher and a Masters in Computer Science student at New York University, Courant.

I am inspired by our ability to learn and comprehend languages in various environments and would like to enable machines to develop human-like visual and language understanding. My dream is to build more inclusive language technologies for low-resource and under-represented languages, including code-mixed languages.

My research interests lie in the field of language-vision understanding and representation learning, with a focus on creating task-agnostic architectures to advance natural language understanding and related applications.

👨‍💻 Languages

🤖 Machine Learning and Statistics

💾 Big Data and Databases

🧰 Tools

📦 Libraries and Frameworks

☎️ Contact me

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doc2sim's Issues

Rewrite code using MOSS

Rewrite similarity metrics using MOSS. Display the similarity scores received from MOSS and display in a tabular format and also export them as a CSV. Should support all the filetypes supported by MOSS.

Use mosspy to integrate Python and MOSS

GUI to allow uploading any files and make GUI responsive

Update/Improve the GUI to allow any files to be uploaded and evaluated. GUI should be responsive

Addition of Word Embedding Models

Looking to add more word embedding models that handle context as well as sentence vectors. Contributions such as trainable ELMo, fastText, weighted word2vec are welcome.

GUI

It would be great to support the application with a neat GUI built using Flask (since its a pretty simple script with no heavy backend). Looking for contributions towards this!

Rewrite using argparse

Use argparse to take in either a directory, or a set of file paths and compute similarity between those files