My Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks using Tensorflow

Overview

Easy Data Augmentation Implementation

This repository contains my Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks using Tensorflow

I have reimplemented the 4 Data Augmentation Techniques Described in the Paper and tested it on the Stanford Sentiment Treebank v2 (SST2) dataset acquired from here

p.s. I have also discussed and gone through the paper here

FAQs-

Q- How can I run this?

A - Just open the .ipynb file, click on the "open in colab" button located at the start of the notebook, set runtime to GPU (for speedy training) and run all cells (everything else is already handled)

Owner
Aflah
Sophomore, Trying
Aflah
Programme de chiffrement et de déchiffrement inverse d'un message en python3.

Chiffrement Inverse En Python3 Programme de chiffrement et de déchiffrement inverse d'un message en python3. Explication du chiffrement inverse avec c

Malik Makkes 2 Mar 26, 2022
The training code for the 4th place model at MDX 2021 leaderboard A.

The training code for the 4th place model at MDX 2021 leaderboard A.

Chin-Yun Yu 32 Dec 18, 2022
Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

Neural Network Models for Joint POS Tagging and Dependency Parsing Implementations of joint models for POS tagging and dependency parsing, as describe

Dat Quoc Nguyen 152 Sep 02, 2022
texlive expressions for documents

tex2nix Generate Texlive environment containing all dependencies for your document rather than downloading gigabytes of texlive packages. Installation

Jörg Thalheim 70 Dec 26, 2022
Research code for "What to Pre-Train on? Efficient Intermediate Task Selection", EMNLP 2021

efficient-task-transfer This repository contains code for the experiments in our paper "What to Pre-Train on? Efficient Intermediate Task Selection".

AdapterHub 26 Dec 24, 2022
Implementation of Fast Transformer in Pytorch

Fast Transformer - Pytorch Implementation of Fast Transformer in Pytorch. This only work as an encoder. Yannic video AI Epiphany Install $ pip install

Phil Wang 167 Dec 27, 2022
本插件是pcrjjc插件的重置版,可以独立于后端api运行

pcrjjc2 本插件是pcrjjc重置版,不需要使用其他后端api,但是需要自行配置客户端 本项目基于AGPL v3协议开源,由于项目特殊性,禁止基于本项目的任何商业行为 配置方法 环境需求:.net framework 4.5及以上 jre8 别忘了装jre8 别忘了装jre8 别忘了装jre8

132 Dec 26, 2022
Spacy-ginza-ner-webapi - Named Entity Recognition API with spaCy and GiNZA

Named Entity Recognition API with spaCy and GiNZA I wrote a blog post about this

Yuki Okuda 3 Feb 27, 2022
This repository has a implementations of data augmentation for NLP for Japanese.

daaja This repository has a implementations of data augmentation for NLP for Japanese: EDA: Easy Data Augmentation Techniques for Boosting Performance

Koga Kobayashi 60 Nov 11, 2022
STT for TorchScript is a port of Coqui STT based on DeepSpeech to PyTorch.

st3 STT for TorchScript is a port of Coqui STT based on DeepSpeech to PyTorch. Currently it supports converting pbmm models to pt scripts with integra

Vlad Ki 8 Oct 18, 2021
Behavioral Testing of Clinical NLP Models

Behavioral Testing of Clinical NLP Models This repository contains code for testing the behavior of clinical prediction models based on patient letter

Betty van Aken 2 Sep 20, 2022
Host your own GPT-3 Discord bot

GPT3 Discord Bot Host your own GPT-3 Discord bot i'd host and make the bot invitable myself, however GPT3 terms of service prohibit public use of GPT3

[something hillarious here] 8 Jan 07, 2023
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

Graph4NLP Graph4NLP is an easy-to-use library for R&D at the intersection of Deep Learning on Graphs and Natural Language Processing (i.e., DLG4NLP).

Graph4AI 1.5k Dec 23, 2022
Yet Another Sequence Encoder - Encode sequences to vector of vector in python !

Yase Yet Another Sequence Encoder - encode sequences to vector of vectors in python ! Why Yase ? Yase enable you to encode any sequence which can be r

Pierre PACI 12 Aug 19, 2021
Code for text augmentation method leveraging large-scale language models

HyperMix Code for our paper GPT3Mix and conducting classification experiments using GPT-3 prompt-based data augmentation. Getting Started Installing P

NAVER AI 47 Dec 20, 2022
ACL22 paper: Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost

Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost LOVE is accpeted by ACL22 main conference as a long pape

Lihu Chen 32 Jan 03, 2023
Blender addon - Scrub timeline from viewport with a shortcut

Viewport scrub timeline Move in the timeline directly in viewport and snap to nearest keyframe Note : This standalone feature will be added in the nat

Samuel Bernou 40 Nov 07, 2022
Chinese named entity recognization (bert/roberta/macbert/bert_wwm with Keras)

Chinese named entity recognization (bert/roberta/macbert/bert_wwm with Keras)

2 Jul 05, 2022
Google AI 2018 BERT pytorch implementation

BERT-pytorch Pytorch implementation of Google AI's 2018 BERT, with simple annotation BERT 2018 BERT: Pre-training of Deep Bidirectional Transformers f

Junseong Kim 5.3k Jan 07, 2023
A repo for materials relating to the tutorial of CS-332 NLP

CS-332-NLP A repo for materials relating to the tutorial of CS-332 NLP Contents Tutorial 1: Introduction Corpus Regular expression Tokenization Tutori

Alok singh 9 Feb 15, 2022