most citedCS1QA: A Dataset for Assisting Code-based Question Answering in an Introductory Programming Course

10 citations · 24 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2022★ 10 cited

CS1QA: A Dataset for Assisting Code-based Question Answering in an Introductory Programming Course

Changyoon Lee, Yeon Seonwoo, Alice Oh

We introduce CS1QA, a dataset for code-based question answering in the programming education domain. CS1QA consists of 9,237 question-answer pairs gathered from chat logs in an int…

cs.CL2022

IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension

Rifki Afina Putri, Alice Oh

Machine Reading Comprehension (MRC) has become one of the essential tasks in Natural Language Understanding (NLU) as it is often included in several NLU benchmarks (Liang et al., 2…

cs.CL2022★ 7 cited

HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea

Haneul Yoo, Jiho Jin, Juhee Son +3

Historical records in Korea before the 20th century were primarily written in Hanja, an extinct language based on Chinese characters and not understood by modern Korean or Chinese…

cs.CL2022★ 3 cited

Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation

Soyoung Yoon, Sungjoon Park, Gyuwan Kim +5

Research on Korean grammatical error correction (GEC) is limited, compared to other major languages such as English. We attribute this problematic circumstance to the lack of a car…

cs.LG2022

Models and Benchmarks for Representation Learning of Partially Observed Subgraphs

Dongkwan Kim, Jiho Jin, Jaimeen Ahn +1

Subgraphs are rich substructures in graphs, and their nodes and edges can be partially observed in real-world tasks. Under partial observation, existing node- or subgraph-level mes…

cs.CL2022★ 1 cited

Ranking-Enhanced Unsupervised Sentence Representation Learning

Yeon Seonwoo, Guoyin Wang, Changmin Seo +6

Unsupervised sentence representation learning has progressed through contrastive learning and data augmentation methods such as dropout masking. Despite this progress, sentence enc…

cs.CL2022

Two-Step Question Retrieval for Open-Domain QA

Yeon Seonwoo, Juhee Son, Jiho Jin +4

The retriever-reader pipeline has shown promising performance in open-domain QA but suffers from a very slow inference speed. Recently proposed question retrieval models tackle thi…

cs.CL2022

Translating Hanja Historical Documents to Contemporary Korean and English

Juhee Son, Jiho Jin, Haneul Yoo +3

The Annals of Joseon Dynasty (AJD) contain the daily records of the Kings of Joseon, the 500-year kingdom preceding the modern nation of Korea. The Annals were originally written i…

cs.LG2022★ 3 cited

Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning

Dongkwan Kim, Alice Oh

Subgraph representation learning has emerged as an important problem, but it is by default approached with specialized graph neural networks on a large global graph. These models d…

cs.CL2021

Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning

Seonghyeon Ye, Jiseon Kim, Alice Oh

We introduce EfficientCL, a memory-efficient continual pretraining method that applies contrastive learning with novel data augmentation and curriculum learning. For data augmentat…