2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Building a Japanese Document-Level Relation Extraction Dataset Assisted by Cross-Lingual Transfer
Youmi Ma, An Wang, Naoaki Okazaki
Document-level Relation Extraction (DocRE) is the task of extracting all semantic relationships from a document. While studies have been conducted on English DocRE, limited attenti…
cs.CL2024★ 2 cited
Sampling-based Pseudo-Likelihood for Membership Inference Attacks
Masahiro Kaneko, Youmi Ma, Yuki Wata +1
Large Language Models (LLMs) are trained on large-scale web data, which makes it difficult to grasp the contribution of each text. This poses the risk of leaking inappropriate data…
cs.CL2023★ 2 cited
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction
Youmi Ma, An Wang, Naoaki Okazaki
Document-level relation extraction (DocRE) is the task of identifying all relations between each entity pair in a document. Evidence, defined as sentences containing clues for the…