Heejin Do (doheejin)

doheejin

Geek Repo

Company:POSTECH

Location:South Korea

Home Page:https://doheejin.github.io/

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Heejin Do's repositories

HiPAMA

This repository is the implementation of the HiPAMA architecture, introduced in the paper, Hierarchical Pronunciation Assessment with Multi-Aspect Attention (ICASSP 2023).

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ProTACT

This repository is the implementation of the ProTACT architecture, introduced in the paper "Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring" (ACL Findings 2023).

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SB_loss_PA

This repository is the implementation of the paper, "Score-balanced Loss for Multi-aspect Pronunciation Assessment" (Interspeech 2023).

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ArTS

This repository is the implementation of the ArTS architecture, introduced in the paper, Autoregressive Score Generation for Multi-trait Essay Scoring (EACL Findings 2024).

multilingual-kd-pytorch

ICLR2019, Multilingual Neural Machine Translation with Knowledge Distillation

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AES

Automatic Essay Scoring

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aSTS-EI

This repository is the dataset of aSTS-EI, introduced in the paper, Aspect-based Semantic Textual Similarity for Educational Test Items (AIED 2024).

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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Automated-Essay--Scoring

Automatically Score essays using Deep Learning

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bert

TensorFlow code and pre-trained models for BERT

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BERT-Korean-Model

BERT with SentencePiece for Korean text

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cross-prompt-trait-scoring

This repository contains the code used to produce the results from the paper Automated Cross-prompt Scoring of Essay Traits published in AAAI 2021.

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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detect-gpt

DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

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EditEval

An instruction-based benchmark for text improvements.

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expats

EXPATS: A Toolkit for Explainable Automated Text Scoring

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flores

Facebook Low Resource (FLoRes) MT Benchmark

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knowledge-distillation

PyTorch implementations of algorithms for knowledge distillation.

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mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

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muss

Code and models used in "MUSS Multilingual Unsupervised Sentence Simplification by Mining Paraphrases".

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nea

Neural Essay Assessor: An Automated Essay Scoring System Based on Deep Neural Networks

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PyTorch

Deep Learning Zero to All - Pytorch

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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trax

Trax — your path to advanced deep learning

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word-embeddings-for-nmt

Supplementary material for "When and Why Are Pre-trained Word Embeddings Useful for Neural Machine Translation?" at NAACL 2018

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