Papers by Myeong Cheol Shin
OutFlip: Generating Examples for Unknown Intent Detection with Natural Language Attack (2021.findings-acl)
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| Challenge: | Out-of-domain (OOD) input detection is vital in task-oriented dialogue systems . accepted OOD inputs lead to incorrect response of the system . |
| Approach: | They propose a method to generate out-of-domain samples from in-domain training datasets using OutFlip. |
| Outcome: | The proposed method significantly improves an intent classification model's out-of-domain detection performance. |
Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization (2020.coling-main)
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Dongyub Lee, Myeong Cheol Shin, Taesun Whang, Seungwoo Cho, Byeongil Ko, Daniel Lee, EungGyun Kim, Jaechoon Jo
| Challenge: | Existing methods for text summarization are based on recall-oriented understudy for gisting evaluation (ROUGE) scores do not reflect semantic meaning correspondences between generated and reference summaries. |
| Approach: | They propose to use Korean as a summarization language to generate a shorter form of text from the source document preserving salient information. |
| Outcome: | The proposed evaluation metrics improve the correlation between the metrics and human judgment. |
LittleBird: Efficient Faster & Longer Transformer for Question Answering (2022.emnlp-main)
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| Challenge: | Existing models for BERT have a limitation dealing with long inputs due to its attention mechanism. |
| Approach: | They propose a model based on BigBird with improved speed and memory footprint . they propose 'pack and unpack attention' to replace global attention . |
| Outcome: | The proposed model can work on long inputs even after being pre-trained on short inputs. |