Question answering system - research work [4 semester]

We augmented an already existing BERT Tiny Transformer network designed to train the Google NQ dataset to randomly sample some of the tokens in a question with its synonyms. The idea comes from the process of image data augmentation used in computer vision pipelines. This experiment directly tackles the concepts of Natural Language Inference and…

Document summary evaluation model using Hugging Face transformer library.

Example of usage several NLP algorithms to create summary of political topic articles from web.

Source code for ISPRAS-2021 journal paper "Language Models Application in Sentiment Attitude Extraction Task" (in Russian)

A web server to host Google BERT trained model

Identify and classify toxic online comments,based on kaggle dataset

The semantic volatility of neologisms.

detect tone of voice in a text message using BERT model in pytorch.

Idea is to develop an approach that given a sample will identify the sub themes along with their respective sentiments.

Creation of a web app where users can take pictures of their receipts and receive information on the calories of the items in the receipt. Project for HackNYU_2020.

Machine Translation

This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)

Perform a Sentiment analysis using BERT on IMDB Movie Ratings Dataset.

I created a technology term detector web app based on BERT model using Streamlit and deployed it with Docker on Azure

BERT model

Implementation of BERT for sequence classification with Hugging face's transformers.

working on llm research

research Group Bert Classification Sem 3