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20152026
most citedLearning Debiased Representation via Disentangled Feature Augmentation

46 citations · 145 across the 59 of their papers we have counts for

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14 papers · 1 filter

cs.CL2025

Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information

Hojun Cho, Donghu Kim, Soyoung Yang +3

Language agents powered by large language models (LLMs) face significant deployment challenges in resource-constrained environments, particularly for specialized domains and less-c…

cs.CL2024

Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation

Soyoung Yang, Hojun Cho, Jiyoung Lee +4

Aspect-based sentiment analysis (ABSA) is a challenging task of extracting sentiments along with their corresponding aspects and opinion terms from the text. The inherent subjectiv…

cs.CL2023

SimCKP: Simple Contrastive Learning of Keyphrase Representations

Minseok Choi, Chaeheon Gwak, Seho Kim +2

Keyphrase generation (KG) aims to generate a set of summarizing words or phrases given a source document, while keyphrase extraction (KE) aims to identify them from the text. Becau…

cs.CL20231 cited

PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration

Minseok Choi, Hyesu Lim, Jaegul Choo

Document-level relation extraction (DocRE) aims to extract relations of all entity pairs in a document. A key challenge in DocRE is the cost of annotating such data which requires…

cs.CL2023

Learning to Diversify Neural Text Generation via Degenerative Model

Jimin Hong, ChaeHun Park, Jaegul Choo

Neural language models often fail to generate diverse and informative texts, limiting their applicability in real-world problems. While previous approaches have proposed to address…

cs.CL2023

HistRED: A Historical Document-Level Relation Extraction Dataset

Soyoung Yang, Minseok Choi, Youngwoo Cho +1

Despite the extensive applications of relation extraction (RE) tasks in various domains, little has been explored in the historical context, which contains promising data across hu…