pushpendrapratap/Word-Sense-Disambiguation-WSD-system

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2
Language
Python
Created about 8 years ago
Updated almost 8 years ago

pushpendrapratap/Word-Sense-Disambiguation-WSD-system

pushpendrapratap

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In this, I have created, trained and evaluated a WSD system using the SENSEVAL corpus based on the vector space model (VSM).

Question-Answering-system-

It uses extensive NLP and ML techniques at its backend for answering descriptive type queries ( currently, the model has been trained only for Data science and Machine Learning Domain ).

Jupyter Notebook

Multilingual-Dependency-Parser-for-English-Spanish-and-Dutch-Language-

In this, I have implemented a form of Joakim Nivre’s “arc-eager transition-based dependency parser”.

smartcab-using-Reinforcement-Learning

In this, the self-driving agent uses RL techniques in a simplified world (created using Pygame) to effectively reaching its destinations in the allotted time. It uses Q-Learning algorithm to find the best configuration of learning and exploration factors to ensure that it is reaching its destinations with consistently positive results without causing any traffic violations (like traffic light and oncoming traffic at each intersection).

p2p-lending

A decentralized, smart contract based chit fund platform on the Ethereum Blockchain