KLUE-baseline contains the baseline code for the Korean Language Understanding Evaluation (KLUE) benchmark.

Overview

KLUE Baseline

Korean(한국어)

KLUE-baseline contains the baseline code for the Korean Language Understanding Evaluation (KLUE) benchmark. See our paper for more details about KLUE and the baselines.

Dependencies

Make sure you have installed the packages listed in requirements.txt.

pip install -r requirements.txt

All expereiments are tested under Python 3.7 environment.

KLUE Benchmark Datasets

All train/dev sets of KLUE tasks are publicly available in this repo. You can access them by using git submodules. To clone the repo with datasets:

git clone --recursive https://github.com/KLUE-benchmark/KLUE-Baseline.git

or just download datasets after cloned this repo:

git submodule update --init --recursive

All test sets are not publicly available. To measure performance of your model on test set, you should first train your model on train set and submit the model to our submission system. Alternatively, you can compare dev set performances with our baseline models. They are also reported in our paper.

Train

To reproduce our baselines, run run_all.sh.

NOTE: klue/roberta models accept input length at most 510 tokens. Details are explained here.

Reference

If you use this code or KLUE, please cite:

@misc{park2021klue,
      title={KLUE: Korean Language Understanding Evaluation}, 
      author={Sungjoon Park and Jihyung Moon and Sungdong Kim and Won Ik Cho and Jiyoon Han and Jangwon Park and Chisung Song and Junseong Kim and Yongsook Song and Taehwan Oh and Joohong Lee and Juhyun Oh and Sungwon Lyu and Younghoon Jeong and Inkwon Lee and Sangwoo Seo and Dongjun Lee and Hyunwoo Kim and Myeonghwa Lee and Seongbo Jang and Seungwon Do and Sunkyoung Kim and Kyungtae Lim and Jongwon Lee and Kyumin Park and Jamin Shin and Seonghyun Kim and Lucy Park and Alice Oh and Jung-Woo Ha and Kyunghyun Cho},
      year={2021},
      eprint={2105.09680},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Contribution

Feel free to leave issues if there are any questions or comments. To contribute, please run make style before creating pull requests.

Estimation of the CEFR complexity score of a given word, sentence or text.

NLP-Swedish … allows to estimate CEFR (Common European Framework of References) complexity score of a given word, sentence or text. CEFR scores come f

3 Apr 30, 2022
Using BERT-based models for toxic span detection

SemEval 2021 Task 5: Toxic Spans Detection: Task: Link to SemEval-2021: Task 5 Toxic Span Detection is https://competitions.codalab.org/competitions/2

Ravika Nagpal 1 Jan 04, 2022
auto_code_complete is a auto word-completetion program which allows you to customize it on your need

auto_code_complete v1.3 purpose and usage auto_code_complete is a auto word-completetion program which allows you to customize it on your needs. the m

RUO 2 Feb 22, 2022
FastFormers - highly efficient transformer models for NLU

FastFormers FastFormers provides a set of recipes and methods to achieve highly efficient inference of Transformer models for Natural Language Underst

Microsoft 678 Jan 05, 2023
The ibet-Prime security token management system for ibet network.

ibet-Prime The ibet-Prime security token management system for ibet network. Features ibet-Prime is an API service that enables the issuance and manag

BOOSTRY 8 Dec 22, 2022
chaii - hindi & tamil question answering

chaii - hindi & tamil question answering This is the solution for rank 5th in Kaggle competition: chaii - Hindi and Tamil Question Answering. The comp

abhishek thakur 33 Dec 18, 2022
Generate product descriptions, blogs, ads and more using GPT architecture with a single request to TextCortex API a.k.a Hemingwai

TextCortex - HemingwAI Generate product descriptions, blogs, ads and more using GPT architecture with a single request to TextCortex API a.k.a Hemingw

TextCortex AI 27 Nov 28, 2022
An automated program that helps customers of Pizza Palour place their pizza orders

PIzza_Order_Assistant Introduction An automated program that helps customers of Pizza Palour place their pizza orders. The program uses voice commands

Tindi Sommers 1 Dec 26, 2021
KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정한 코드입니다.

KoBERTopic 모델 소개 KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정했습니다. 기존 BERTopic : https://github.com/MaartenGr/BERTopic/tree/05a6790b21009d

Won Joon Yoo 26 Jan 03, 2023
Python library for Serbian Natural language processing (NLP)

SrbAI - Python biblioteka za procesiranje srpskog jezika SrbAI je projekat prikupljanja algoritama i modela za procesiranje srpskog jezika u jedinstve

Serbian AI Society 3 Nov 22, 2022
Opal-lang - A WIP programming language based on Python

thanks to aphitorite for the beautiful logo! opal opal is a WIP transcompiled pr

3 Nov 04, 2022
🏖 Easy training and deployment of seq2seq models.

Headliner Headliner is a sequence modeling library that eases the training and in particular, the deployment of custom sequence models for both resear

Axel Springer Ideas Engineering GmbH 231 Nov 18, 2022
Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation

Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision Training Efficiency We show the training efficiency of our DSLP model b

Chenyang Huang 37 Jan 04, 2023
ChatBotProyect - This is an unfinished project about a simple chatbot.

chatBotProyect This is an unfinished project about a simple chatbot. (union_todo.ipynb) Reminders for the project: Find why one of the vectorizers fai

Tomás 0 Jul 24, 2022
Tools to download and cleanup Common Crawl data

cc_net Tools to download and clean Common Crawl as introduced in our paper CCNet. If you found these resources useful, please consider citing: @inproc

Meta Research 483 Jan 02, 2023
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

Memorizing Transformers - Pytorch Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memori

Phil Wang 364 Jan 06, 2023
Text classification is one of the popular tasks in NLP that allows a program to classify free-text documents based on pre-defined classes.

Deep-Learning-for-Text-Document-Classification Text classification is one of the popular tasks in NLP that allows a program to classify free-text docu

Happy N. Monday 2 Mar 17, 2022
A demo for end-to-end English and Chinese text spotting using ABCNet.

ABCNet_Chinese A demo for end-to-end English and Chinese text spotting using ABCNet. This is an old model that was trained a long ago, which serves as

Yuliang Liu 45 Oct 04, 2022
The aim of this task is to predict someone's English proficiency based on a text input.

English_proficiency_prediction_NLP The aim of this task is to predict someone's English proficiency based on a text input. Using the The NICT JLE Corp

1 Dec 13, 2021
Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic Resources (NAACL-2021).

Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic Resources Description This is the repository for the paper Unifying Cross-

Sapienza NLP group 16 Sep 09, 2022