Search Results for author: Sion Jang

Found 6 papers, 1 papers with code

Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission

no code implementations WMT (EMNLP) 2021 Shinhyeok Oh, Sion Jang, Hu Xu, Shounan An, Insoo Oh

As experimental results show, our APE system significantly improves the translations of provided MT results by -2. 848 and +3. 74 on the development dataset in terms of TER and BLEU, respectively.

Automatic Post-Editing Multi-Task Learning +1

Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers

no code implementations18 Jul 2023 Jaeyoung Kim, Kyuheon Jung, Dongbin Na, Sion Jang, Eunbin Park, Sungchul Choi

The surrogate OOD sample introduced by POE shows a similar representation to ID data, which is most effective in training a rejection network.

Out-of-Distribution Detection text-classification +1

Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission

no code implementations14 Sep 2021 Shinhyeok Oh, Sion Jang, Hu Xu, Shounan An, Insoo Oh

As experimental results show, our APE system significantly improves the translations of provided MT results by -2. 848 and +3. 74 on the development dataset in terms of TER and BLEU, respectively.

Automatic Post-Editing Multi-Task Learning +1

Deep learning-based citation recommendation system for patents

no code implementations21 Oct 2020 Jaewoong Choi, Sion Jang, Jaeyoung Kim, Jiho Lee, Janghyeok Yoona, Sungchul Choi

In this study, we address the challenges in developing a deep learning-based automatic patent citation recommendation system.

Citation Recommendation Recommendation Systems

A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks

1 code implementation15 Mar 2019 Chanwoo Jeong, Sion Jang, Hyuna Shin, Eunjeong Park, Sungchul Choi

Many researchers have utilized the text data called the context sentence, which surrounds the citation tag, and the metadata of the target paper to find the appropriate cited research.

Benchmarking Citation Recommendation +2

Text Classification using Capsules

no code implementations12 Aug 2018 Jaeyoung Kim, Sion Jang, Sungchul Choi, Eunjeong Park

This paper presents an empirical exploration of the use of capsule networks for text classification.

General Classification Image Classification +2

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