Követés
Jamin Shin
Jamin Shin
Research Scientist, NAVER AI Lab
E-mail megerősítve itt: navercorp.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Reducing gender bias in abusive language detection
JH Park, J Shin, P Fung
EMNLP 2018, 2018
2642018
MoEL: Mixture of Empathetic Listeners
Z Lin, A Madotto, J Shin, P Xu, P Fung
EMNLP 2019, 2019
1022019
CAiRE: An End-to-End Empathetic Chatbot
Z Lin, P Xu, GI Winata, FB Siddique, Z Liu, J Shin, P Fung
AAAI 2020 Demonstration, 2019
98*2019
KLUE: Korean Language Understanding Evaluation
S Park, J Moon, S Kim, WI Cho, J Han, J Park, C Song, J Kim, Y Song, ...
arXiv preprint arXiv:2105.09680, 2021
792021
Generating empathetic responses by looking ahead the user’s sentiment
J Shin, P Xu, A Madotto, P Fung
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
60*2020
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
Z Liu, J Shin, Y Xu, GI Winata, P Xu, A Madotto, P Fung
EMNLP 2019, 2019
592019
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
G Indra Winata, A Madotto, Z Lin, J Shin, Y Xu, P Xu, P Fung
SemEval @ NAACL 2019, 2019
24*2019
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition
G Indra Winata, Z Lin, J Shin, Z Liu, P Fung
EMNLP 2019, 2019
21*2019
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
G Indra Winata, A Madotto, J Shin, EJ Barezi, P Fung
PACLIC 2019, 2019
20*2019
Interpreting Word Embeddings with Eigenvector Analysis
J Shin, A Madotto, P Fung
Interpretability and Robustness in Audio, Speech, and Language (IRASL …, 2018
152018
Attention over Parameters for Dialogue Systems
A Madotto, Z Lin, CS Wu, J Shin, P Fung
Conversational AI Workshop @NeurIPS, 2020
102020
Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking
J Shin, H Yu, H Moon, A Madotto, J Park
Findings of the Association for Computational Linguistics: ACL 2022, 2022
6*2022
Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout Prediction
S Lee, KS Kim, J Shin, J Park
Educational Data Mining 2021, 2021
12021
Fast End-to-end Coreference Resolution for Korean
C Park, J Shin, S Park, J Lim, C Lee
Findings of the Association for Computational Linguistics: EMNLP 2020, 2610-2624, 2020
12020
Evaluating the Knowledge Dependency of Questions
H Moon, Y Yang, J Shin, H Yu, S Lee, M Jeong, J Park, M Kim, S Choi
arXiv preprint arXiv:2211.11902, 2022
2022
Pedagogical Word Recommendation: A novel task and dataset on personalized vocabulary acquisition for L2 learners
J Shin, J Park
arXiv preprint arXiv:2112.13808, 2021
2021
Learning to converse with empathy in open-domain dialogue systems
J Shin
The Hong Kong University of Science and Technology, 2020
2020
End-to-End Question Answering Models for Goal-Oriented Dialog Learning
J Shin, A Madotto, M Seo, P Fung
DSTC7 @ AAAI 2019, 2019
2019
Understanding the Shades of Sexism in Popular TV Series.
N Lee, Y Bang, J Shin, P Fung
WNLP@ ACL, 122-125, 2019
2019
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–19