Question Answering System for Android Devices. 4 approaches implemented in backend for QA System i.e., Naive Approach, Word Embedding Technique (Word2Vec, Glove), Simple transformer and Bert. For frontend, an Android app is used.

Detecting the functioning level of a patient from a free-text clinical note in Dutch.

An implementation of Heterogeneoud Ensembles Methods for Multi-label Text Classification

unsupervised creation of contradictory, entailing sentences from a given premise for SNLI tasks.

This is an experiment for Qur'an QA for the shared task at the OSCAT workshop

Two sentences are paraphrases if their meanings are equivalent but their words and syntax are different

Fine-tuned BERT model for multi-class uncertainty cues recognition.

sentiment-analysis using pertrained models (BERT, BiLSTM)

Multi Label Text Classification of ICD-10-CM codes on the clinical record corpus for eHealth Lab CLEF - 2020

This repository contains about my personal learning project about sentiment analysis using Simple Transformers BERT model