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Hi there ๐Ÿ‘‹

I completed B.S., and M.S. degrees in Computer Science from Jeonbuk National University and currently work as a researcher at KT, AI Tech Lab. My areas of interest include NLP, ML, and multi-modal. For more information or to get in touch, please see the details as follows:

Sung-Min Lee's Projects

2021_ir_opendomainqa icon 2021_ir_opendomainqa

2021 ์ •๋ณด๊ฒ€์ƒ‰ ๊ณผ์ œ. ํ•œ๊ตญ์–ด ์œ„ํ‚คํ”ผ๋””์•„ ์˜คํ”ˆ๋„๋ฉ”์ธ ์งˆ์˜์‘๋‹ต ์‹œ์Šคํ…œ

2021_korean_competition icon 2021_korean_competition

2021 ๊ตญ๋ฆฝ๊ตญ์–ด์› ์ธ๊ณต ์ง€๋Šฅ ์–ธ์–ด ๋Šฅ๋ ฅ ํ‰๊ฐ€ ํ™”์„ฑ๊ฐˆ๋„๋‹ˆ๊นŒ Team (5th/31)

book-manager-wpf icon book-manager-wpf

2019 ์œˆ๋„์šฐ์ฆˆ ํ”„๋กœ๊ทธ๋ž˜๋ฐ ๋„์„œ๊ด€๋ฆฌํ”„๋กœ๊ทธ๋žจ(Book Manager) C# WPF

calculator icon calculator

Windows Calculator: A simple yet powerful calculator that ships with Windows

comet-commonsense icon comet-commonsense

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

cpft icon cpft

(unofficial) Code for "Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning", EMNLP 2021

densephrases icon densephrases

Learning Dense Representations of Phrases at Scale (Lee et al., 2020)

diamond-game-ai-chinese-checker-ai- icon diamond-game-ai-chinese-checker-ai-

2019 ์ž๋ฐ” ํ”„๋กœ๊ทธ๋ž˜๋ฐ ๊ณผ์ œ : ๋‹ค์ด์•„๋ชฌ๋“œ๊ฒŒ์ž„(1์ธ-ai, 2์ธ,3์ธ, ๋„คํŠธ์›Œํฌ ๊ฒŒ์ž„)

fbknockknock icon fbknockknock

๋‚ด ๋ชจ๋ธ์˜ ํ•™์Šต์ง„ํ–‰ ์ƒํ™ฉ์„ facebook messenger๋กœ ๋ฐ›์•„๋ณผ ์ˆ˜ ์žˆ๋Š” ํŒจํ‚ค์ง€.

g-mlp-pytorch icon g-mlp-pytorch

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

graphretriever icon graphretriever

GraphRetriever in the paper "Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering"

hybridqa icon hybridqa

Dataset and code for EMNLP2020 paper "HybridQA: A Dataset of Multi-Hop Question Answeringover Tabular and Textual Data"

kobert-ner icon kobert-ner

NER Task with KoBERT (with Naver NLP Challenge dataset)

korean_extractive_summarization icon korean_extractive_summarization

korean extractive summarization. 2021 AI ํ…์ŠคํŠธ ์š”์•ฝ ์˜จ๋ผ์ธ ํ•ด์ปคํ†ค ํ™”์„ฑ๊ฐˆ๋„๋‹ˆ๊นŒํŒ€ ์ฝ”๋“œ (1st/50)

mafid icon mafid

Code for "MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data", EACL2023 Findings

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