2 citations · 8 across the 8 of their papers we have counts for
4 papers · 1 filter
Domain-Agnostic Neural Topic Modeling with Contextual Token-Level Semantic Graph Representation
Seung-Won Seo, Won Ik Cho, Yongmin Yoo
Recent advances in neural topic models with pre-trained language models (PLMs) have achieved strong performance by leveraging general-domain pre-training, yet their topic interpret…
Heterogeneous Dependency Graph-Guided Attentionfor Patent Representation Learning
Yongmin Yoo, Qiongkai Xu, Zhangkai Wu +1
Pre-trained language models advance patent classification and retrieval by encoding claims as flat token sequences, but they overlook the dependency hierarchy among claims. Incorpo…
Multi label classification of Artificial Intelligence related patents using Modified D2SBERT and Sentence Attention mechanism
Yongmin Yoo, Tak-Sung Heo, Dongjin Lim +1
Patent classification is an essential task in patent information management and patent knowledge mining. It is very important to classify patents related to artificial intelligence…
DAGAM: Data Augmentation with Generation And Modification
Byeong-Cheol Jo, Tak-Sung Heo, Yeongjoon Park +3
Text classification is a representative downstream task of natural language processing, and has exhibited excellent performance since the advent of pre-trained language models base…