Yiping Jin (金逸平)
Cited by
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Mining Scientific Terms and their Definitions: A Study of the ACL Anthology
Y Jin, MY Kan, JP Ng, X He
Conference on Empirical Methods in Natural Language Processing (EMNLP), 780--790, 2013
Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation
Y Jin, A Bhatia, D Wanvarie
The 2021 Conference of the North American Chapter of the Association for …, 2021
Learning from noisy out-of-domain corpus using dataless classification
Y Jin, D Wanvarie, PTV Le
Natural Language Engineering 28 (1), 39-69, 2020
Combining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising
Y Jin, D Wanvarie, PTV Le
International Joint Conference on Natural Language Processing (IJCNLP), 2017
Genre-Oriented Web Content Extraction with Deep Convolutional Neural Networks and Statistical Methods
BD Nguyen-Hoang, BT Pham-Hong, Y Jin, P T.V.Le
Pacific Asia Conference on Language, Information and Computation (PACLIC), 2018
Towards Improving Coherence and Diversity of Slogan Generation
Y Jin, A Bhatia, D Wanvarie, PTV Le
Natural Language Engineering, 1-33, 2022
Learning Only from Relevant Keywords and Unlabeled Documents
N Charoenphakdee, J Lee, Y Jin, D Wanvarie, M Sugiyama
Conference on Empirical Methods in Natural Language Processing and the 9th …, 2019
Towards Weakly-Supervised Hate Speech Classification Across Datasets
Y Jin, L Wanner, VL Kadam, A Shvets
Proceedings of the 7th Workshop on Online Abuse and Harms (WOAH 2023), 42-59, 2023
Plot Writing From Pre-Trained Language Models
Y Jin, V Kadam, D Wanvarie
Proceedings of the 15th Conference on Natural Language Generation, 2022
Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia
Y Jin, V Kadam, D Wanvarie
The 15th Workshop on Graph-Based Methods for Natural Language Processing …, 2021
Selecting Domain-Specific Concepts for Question Generation With Lightly-Supervised Methods
Y Jin, PTV Le
International Natural Language Generation Conference (INLG), 133--142, 2016
Bridging the Gap between Research and Production with CODE
Y Jin, D Wanvarie, P Le
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
C Huang, Y Jin, I Ilievski, W Lei, J Lv
Proceedings of ACL 2024, 2024
GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?
Y Jin, L Wanner, A Shvets
Proceedings of LREC-COLING 2024, 7867–7885, 2024
Automated Ad Creative Generation
V Kadam, Y Jin, BD Nguyen-Hoang
Proceedings of the 15th International Conference on Natural Language …, 2022
Cross-Domain Contextual Targeting Without any In-Domain Labelled Data
Y Jin
US Patent 11,093,969, 2021
Natural Language Processing for Digital Advertising
Y Jin
Chulalongkorn University, 2021
Lightly-Supervised Learning Methods for One-Class Text Classification
Y Jin
Chulalongkorn University, 2018
Mining Definition of Term in Scientific Articles
Y Jin
National University of Singapore, 2013
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