activity
20162025
most citedA Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology

7 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Chaining Event Spans for Temporal Relation Grounding

Jongho Kim, Dohyeon Lee, Minsoo Kim +1

Accurately understanding temporal relations between events is a critical building block of diverse tasks, such as temporal reading comprehension (TRC) and relation extraction (TRE)…

cs.CL2022

Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption

Garam Lee, Minsoo Kim, Jai Hyun Park +2

Embeddings, which compress information in raw text into semantics-preserving low-dimensional vectors, have been widely adopted for their efficacy. However, recent research has show…

cs.IR2022

Collective Relevance Labeling for Passage Retrieval

Jihyuk Kim, Minsoo Kim, Seung-won Hwang

Deep learning for Information Retrieval (IR) requires a large amount of high-quality query-document relevance labels, but such labels are inherently sparse. Label smoothing redistr…

cs.CV2016★ 7 cited

A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology

Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park +1

We present a unified framework to predict tumor proliferation scores from breast histopathology whole slide images. Our system offers a fully automated solution to predicting both…

cs.CL2016★ 6 cited

Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization

Minsoo Kim, Moirangthem Dennis Singh, Minho Lee

In this work, we introduce temporal hierarchies to the sequence to sequence (seq2seq) model to tackle the problem of abstractive summarization of scientific articles. The proposed…