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[Notice] "DarkBERT: A Language Model for the Dark Side of the Internet" accepted at ACL 2023

Date 2023. 05. 24

We are thrilled to announce that our research paper (collaboration with KAIST) regarding the dark web has now been officially accepted at ACL 2023. 

The data intelligence company S2W has been recognized for its leading technological capabilities in the field of natural language processing. S2W's research papers have been accepted for two consecutive years at NAACL and ACL, prestigious academic conferences globally recognized in the area of natural language processing (NLP). 

The subject of the thesis that S2W will present at ACL in July this year is 'DarkBERT: A Language Model for the Dark Side of the Internet'. △DarkBERT, a language model specialized for the dark web, was created using △Dark Web Collection △Refinement △Analysis Engine △Universal Language Model BERT (a method for pre-learning language expressions). 

The Association for Computational Linguistics (ACL) is one of the world's leading academic conferences in computer science and AI, and this year marks its 61st anniversary. ACL is a place where scholars and experts in computer science fields such as natural language processing (NLP) and machine translation (MT) gather to present and share the latest research results and technology development status. It is an academic conference with a long history and reputation. 

Title: DarkBERT: A Language Model for the Dark Side of the Internet
Conference: ACL2023 

Author: Eugene Jang, Jian Cui, Jin-Woo Chung, Yongjae Lee (S2W),  Youngjin Jin, Seungwon Shin (KAIST)

☑️ Click here to read the paper.