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Jinu Lee

Research Interests

To the grand goal of explainable and intelligent systems, I am currently interested in integrating deep language AI with symbolic systems, knowledge representation, and reinforcement learning.

Current research interests:

  • Explainable / Interpretable NLP training and inference
  • NLP with symbolic systems (Logic, Compiler, Knowledge base, …)
  • Language models as Reinforcement Learning agents

Career

👨‍⚖️ 07.2023 - 05.2024 Research Engineer, LBox (Legal Tech Startup)

🏫 09.2022 - 07.2023 Research Intern, SNU Language & Data Intelligence Lab (Adviser: Prof. Seungwon Hwang)

🚢 03.2021 - 09.2022 Researcher Seaman, RoK Navy Future Innovation Research Group

🎮 07.2020 - 11.2020 Research Intern, NCSOFT Language AI Lab

Education

💻 03.2018 - 08.2024 Dept. of Computer Science & Engineering, Seoul National University (Major)

📝 09.2019 - 08.2024 Dept. of Linguistics, Seoul National University (Minor)

More Information in...

🌱 Jinu Lee Profiles

Contact

✉️ [email protected]

Jinu Lee's Projects

bert_diora icon bert_diora

Implementation of DIORA(Deep Inside-Outside Recursive Autoencoder) with pretrained transformer embeddings.

birdman icon birdman

:bird: Birdman is a powerful package for asynchronous streaming of any web content. Ignorantly watch over like a bird, and we will bring you the whole world. That is the virtue of unexpected ignorance.

brio icon brio

ACL 2022: BRIO: Bringing Order to Abstractive Summarization

cont icon cont

[NeurIPS'22] CoNT: Contrastive Neural Text Generation

crawling icon crawling

Various corpus crawling/filtering scripts.

cutoff icon cutoff

The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation".

diora icon diora

Deep Inside-Outside Recursive Autoencoder

kmdp icon kmdp

Korean Morpheme-based Dependency Parsing framework(rule-based).

kogpt2-autoqag icon kogpt2-autoqag

Korean Auto Question-Answer Generation using fine-tuned KoGPT-2(by SKTBrain)

korcorr icon korcorr

KorCorr: Korean Spelling Auto-correction with Seqence-labeling based copy generation

scasp icon scasp

s(CASP), but with original Negation as Failure(NAF)

victornlp_dp icon victornlp_dp

Dependency parsing library that supports various models and languages

victornlp_re icon victornlp_re

Relation Extraction library that supports various models and languages

victornlp_sts icon victornlp_sts

Semantic Text Similarity(STS) library that supports various models and languages

xclingo2 icon xclingo2

A tool for explainability and debugging in Answer Set Programming.

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