2021
International
- Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models
Taeuk Kim, Bowen Li, Sang-goo Lee
Findings of the Association for Computational Linguistics (Findings of EMNLP 2021), 2021
- Self-Guided Contrastive Learning for BERT Sentence Representations
Taeuk Kim, Kang Min Yoo, Sang-goo Lee
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 2021
- Deep Semantic Hashing Using Pairwise Labels
Richeng Xuan, Junho Shim, Sang-goo Lee
IEEE Access, Volume 9, pp. 91934 - 91949, 2021
- Masked Contrastive Learning for Anomaly Detection
Hyunsoo Cho, Jinseok Seol, Sang-goo Lee
The 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2021
ArXiv
2020
International
- Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads
Bowen Li, Taeuk Kim, Reinald Kim Amplayo, Frank Keller
The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-ICJNLP 2020), 2020
- Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee
2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), 2020
- IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?
Jaeyoul Shin, Taeuk Kim, Sang-goo Lee
International Workshop on Semantic Evaluation (SemEval 2020), 2020
- Exploiting Text Matching Techniques for Knowledge-Grounded Conversation
Yeonchan Ahn, Sang-goo Lee, Jaehui Park
IEEE Access, Volume 8, pp. 126201 - 126214, 2020
- Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction
Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee
International Conference on Learning Representations 2020 (ICLR 2020), 2020
ArXiv
2019
International
- A Deep Learning based Architecture for Personal A.I. Fashion Stylist Services
Sungchan Park, Jeeseung Han, Jun Yeob Kim, Holim Lim, Sungjun Kim, Jeawoong Jung, Eunyoung Park, Sang-goo Lee, Yuri Lee, Jong-Youn Rha
The 2nd Artificial Intelligence on Fashion and Textile International Conference (AIFT 2019), 2019
- Cell-aware Stacked LSTMs for Modeling Sentences
Jihun Choi, Taeuk Kim, Sang-goo Lee
The 11th Asian Conference on Machine Learning (ACML 2019), 2019
- Summary Level Training of Sentence Rewriting for Abstractive Summarization
Sanghwan Bae, Taeuk Kim, Jihoon Kim, Sang-goo Lee
The Second Workshop on New Frontiers in Summarization 2019 (EMNLP Workshop), 2019
- Stochastic Relational Network
Kang Min Yoo, Hyunsoo Cho, Hanbit Lee, Jeeseung Han, Sang-goo Lee
The 1st Workshop on Statistical Deep Learning in Computer Vision 2019 (ICCV Workshop), 2019
- Leveraging Class Hierarchy in Fashion Classification
Hyunsoo Cho, Chae Min Ahn, Kang Min Yoo, Jinseok Seol, Sang-goo Lee
The 2nd Workshop on Computer Vision for Fashion, Art and Design 2019 (ICCV Workshop), 2019
- Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
Kang Min Yoo*, Taeuk Kim*, Sang-goo Lee
2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), 2019
- A Survey on Personalized PageRank Computation Algorithms
Sungchan Park, Wonseok Lee, Byeongseo Choe, Sang-goo Lee
IEEE Access, Volume 7, pp. 163049-163062, 2019
- Intrinsic Evaluation of Grammatical Information within Word Embeddings
Daniel Edmiston, Taeuk Kim
Pacific Asia Conference on Language, Information and Computation (PACLIC 33), 2019
- A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching
Jihun Choi, Taeuk Kim, Sang-goo Lee
The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), 2019
- SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification
Sanghwan Bae, Jihun Choi, Sang-goo Lee
International Workshop on Semantic Evaluation (SemEval 2019), 2019
- Utterance Generation With Variational Auto-Encoder for Slot Filling in Spoken Language Understanding
Youhyun Shin, Kang Min Yoo, Sang-goo Lee
IEEE Signal Processing Letters, Volume 26, Issue 3, pp. 505-509, 2019
- Data Augmentation for Spoken Language Understanding via Joint Variational Generation
Kang Min Yoo, Youhyun Shin, Sang-goo Lee
Thirty-Third AAAI Confernce on Artificial Intelligence (AAAI 2019), 2019
- Fashion Attributes-to-Image Synthesis Using Attention-based Generative Adversarial Network
Hanbit Lee, Sang-goo Lee
IEEE Winter Conference on Applications of Computer Vision (WACV 2019), 2019
- SisterNetwork: Enhancing Robustness of Multi-label Classification with Semantically Segmented Images
Holim Lim, Jeeseung Han, Sang-goo Lee
International Conference on Ubiquitous Information Management and Communication (IMCOM 2019), pp. 1092-1099, 2019
- Variational Deep Semantic Text Hashing with Pairwise Labels
Richeng Xuan, Junho Shim, Sang-goo Lee
International Conference on Ubiquitous Information Management and Communication (IMCOM 2019) (Honorable Paper Award), pp. 1076-1091, 2019
- Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations
Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee
Thirty-Third AAAI Confernce on Artificial Intelligence (AAAI 2019), 2019