Discover @SeungoneKim Open Source projects

Seungone Kim (@SeungoneKim)

SeungoneKim

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Global Rank 283,689 (Top 10 %)
Followers 53
Following 140
Registered over 4 years ago
Most used languages

Python
50.0 %

Jupyter Notebook
33.3 %

C++
16.7 %
Location 🇰🇷 South Korea
Country Total Rank 2,395
Country Ranking

Python
707

Jupyter Notebook
944

C++
1,263

CoTEVer

[EACL 2023] CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification

SICK_Summarization

[COLING 2022] Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization

DeepLearningPapers

This is a repository where I store materials I summarized from studying DL,ML,NLP,CV,RL,GAN,RS fields.

algorithms

This repository is where I store my codes for Competitive Programming and Implementation of Data Structures. Problems and content are sourced from ICPC, Baekjoon Online Judge, CodeForces and lectures from Yonsei University(CSI2103-01, CSI3108-01). All the work was done since 2019.06 and was committed on git since 2021.01.22

ICSK4AS

Incorporating Commonsense Knowledge for Abstractive Summarization

Jupyter Notebook

BERT_implementation

Devlin, Jacob, et al. "Bert: Pre-training of deep bidirectional transformers for language understanding." arXiv preprint arXiv:1810.04805 (2018). (Implementation from scratch with PyTorch)

Jupyter Notebook

Yonsei-NLP-Study-Season1

This repository contains presentation materials, links to presentation videos, and a summary of all the papers we have studied in Yonsei NLP Study Season1(2021.07.07~2021.08.25). Our main topic was Pretraining methods of Language Models, and other approaches to build up a better NLP Model. We have covered 37 papers in total!

BiDAF_torch

Implementation for "Bi-Directional Attention Flow For Machine Comprehension"(ICLR 2017) Paper

Yonsei-NLP-Study-Season2

This repository contains presentation materials, links to presentation videos, and a summary of all the papers we have studied in Yonsei NLP Study Season2(2021.09.08~2021.11.17). Our Main Topic was Question Answering and the various techniques needed to solve QA. We have covered 55 papers in total!

Yonsei-NLP-Study-Season3

This repository contains presentation materials, links to presentation videos, and a summary of all the papers we have studied in Yonsei NLP Study Season3(2022.01.01~2022.03.01). Our Main Topic was Question Answering and Knowledge Distillation. We have covered 23 papers in total!