Paraphrase Generation Using Deep Reinforcement Learning - MSc Thesis

Multi-label prediction for GitHub issues with state of the art NLP models and state of the art performance. 😎

Code for experiments done for EMNLP2020.

keras implementation for paper - Enhanced LSTM for Natural Language Inference, tested on Quora Question Pairs dataset.

An Automatic Paraphrase Detection System

Sentential paraphrase datasets and BERT-based paraphrase detection models for the Armenian language.

I built this to automate discovery of common text between two documents. I used porter stemming, windowing, and make it save to file. I built the GUI in Java. This project was so successful that a competitor quickly added similar features and Dr. Hilton III published papers on results he discovered when using it.

ESIM implementation by PyTorch, get 89.29% accuracy on Quora Questions Pairs dataset.

ACL 2022 (Findings): Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks

The official repository for the paper "Paraphrase Detection: Human vs. Machine Content".

Group Project of CSE 576 : Natural Language Processing at ASU

BERT for question paraphrase detection

Check matching seven word sequences in two different pieces of text.

Paraphrase detection and reranking model

Master thesis code and results on topic "Transfer learning in paraphrase detection for English and Spanish languages"

Classification paraphrases

Paraphrase Detection with Deep Learning using Keras

Successfully developed a machine learning model which can accurately detect whether any given pair of Quora questions are duplicate or not.

Implementing and fine-tuning BERT for sentiment analysis, paraphrase detection, and semantic textual similarity tasks. Includes code, data, and detailed results.