Multi-label prediction for GitHub issues with state of the art NLP models and state of the art performance. 😎
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Updated
Dec 8, 2022 - Jupyter Notebook
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.
Paraphrase Generation Using Deep Reinforcement Learning - MSc Thesis
Code for experiments done for EMNLP2020.
Sentential paraphrase datasets and BERT-based paraphrase detection models for the Armenian language.
BERT for question paraphrase detection
Paraphrase detection and reranking model
Master thesis code and results on topic "Transfer learning in paraphrase detection for English and Spanish languages"
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.
Classification paraphrases
Check matching seven word sequences in two different pieces of text.
Implementing and fine-tuning BERT for sentiment analysis, paraphrase detection, and semantic textual similarity tasks. Includes code, data, and detailed results.
Successfully developed a machine learning model which can accurately detect whether any given pair of Quora questions are duplicate or not.
An Automatic Paraphrase Detection System
Group Project of CSE 576 : Natural Language Processing at ASU
NLP tasks carried out when working as an RA at https://lawecondata.ethz.ch/.
My bachelor degree paper, presentation and code
Paraphrase Detection with Deep Learning using Keras
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