jbjeong91

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

ctrl

Conditional Transformer Language Model for Controllable Generation

DeepRecommender

Deep learning for recommender systems

KoBERT

Korean BERT pre-trained cased (KoBERT)

fastprogress

Simple and flexible progress bar for Jupyter Notebook and console

autoprompt

AutoPrompt: Automatic Prompt Construction for Masked Language Models.

pytorch-bert-crf-ner

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

KcELECTRA

🤗 Korean Comments ELECTRA: 한국어 댓글로 학습한 ELECTRA 모델

KB-ALBERT

KB국민은행에서 제공하는 경제/금융 도메인에 특화된 한국어 ALBERT 모델

electra-pytorch

A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch

koalanlp

KoalaNLP = Korean + Scala + NLP. 한국어 형태소 및 구문 분석기의 모음입니다.

KoBigBird

🦅 Pretrained BigBird Model for Korean (up to 4096 tokens)

KoBERT-Transformers

KoBERT on 🤗 Huggingface Transformers 🤗 (with Bug Fixed)

SemEval-Triplet-data

Aspect Sentiment Triplet Extraction (ASTE) dataset in AAAI 2020, EMNLP 2020 and ACL 2021.

InstructABSA

Instructional learning for Aspect Based Sentiment Analysis [NAACL-2024]

deidentify

A Python library to de-identify medical records with state-of-the-art NLP methods.

PtrNetDecoding4JERE

Code for modeling encoder-decoder architecture with pointer network for joint entity and relation extraction (AAAI 2020).

Generative-ABSA

CoMPM

Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation (NAACL 2022)

SpanEmo

SpanEmo

GoEmotions-Korean

Korean version of GoEmotions Dataset 😍😢😱

deduce

Deduce: de-identification method for Dutch medical text

UMS-ResSel

PyTorch Implementation for AAAI'21 "Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection"

OpenJERE

EMNLP2020 findings paper: Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction

Very-deep-cnn-pytorch

Very deep CNN for text classification

EMOTyDA

SMHSA

Source code of the paper "Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction, IJCAI 2020."