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. 😎

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

Code for experiments done for EMNLP2020.

An Automatic Paraphrase Detection System

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

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

This is the official repository of the paper titled "BnPC: A Gold Standard Corpus for Paraphrase Detection in Bangla, and its Evaluation", accepted in The 17th Workshop on Building and Using Comparable Corpora (BUCC 2024) co-located with LREC-COLING 2024. It contains the codes and the dataset.

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.

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

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

Group Project of CSE 576 : Natural Language Processing at ASU

BERT for question paraphrase detection

Given a text and a reason, predict if text satisfies the reason. You can use the train file for any training and report metrics on evaluation file.

PAS2: A Python-based hallucination detection system that evaluates AI response consistency through paraphrasing and semantic similarity analysis. Features include response evaluation, similarity metrics, visualization tools, and a web interface for interactive testing.

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

Document-level paraphrase detection using Siamese Neural Network with SBERT encoder (all-MiniLM-L6-v2). Features full transformer fine-tuning, contrastive learning, and semantic similarity analysis. Includes FastAPI backend with AI validation agents, React frontend, and complete training pipeline with checkpointing.

Fine-tuning BERT and BART for sentiment analysis, paraphrase detection, and controlled text generation. Features Siamese networks, multi-objective loss, adversarial training, and Bayesian hyperparameter optimization.

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