심우철 Woo-Chul

Sim WooChul

AI Research Engineer focused on NLP, Patent Search, and Deep Learning.
7+ years of experience in research and applied machine learning.

(2019) Research on an Automated IPC Classification Recommendation System for Korean Patents
(2020) Research on Korean Patent Language Models and NER for Composition and Physical Properties in Chemical Patents
(2021) Research and Development of an Automated CPC Classification Recommendation System for Korean Patents
(2022) Research on a Weak Signal Detection System for Automatically Identifying High-Value Patents
(2023) Research and Development of an AI-based Trademark Name Similarity Search System
(2024) Research on Performance Enhancement of an Automated CPC Classification Recommendation System
(2025) Research on Constructing Korean Search Training Datasets to Improve AI-based Patent Search Systems

An Automatic Patent Classification Method Considering the Hierarchical Feature of CPC
An automatic patent classification method using a CPC generation filter
A Study on Judging Phonetic Similarities for Trademark Searches by Focusing on Enhancing the Search Precision of Korean and English Character Trademarks
A Study on the Automatic Classification of CPC Considering the Characteristics of Korean Patent Documents and Deep Learning-based Classification Model
A Study on Automatic CPC Classification based on Korean Patent Sentence ―A Deep Learning Approach using Artificial Intelligence Language Model KorPatBERT
Patent Tokenizer: a research on the optimization of tokenize for the Patent sentence using the Morphemes and SentencePiece
Hybrid Approach Combining Deep Learning and Rule-Based Model for Automatic IPC Classification of Patent Documents