Lifeng Jin
Lifeng Jin
Tencent America
Verified email at - Homepage
Cited by
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Using virtual standardized patients to accurately assess information gathering skills in medical students
KR Maicher, L Zimmerman, B Wilcox, B Liston, H Cronau, A Macerollo, ...
Medical teacher 41 (9), 1053-1059, 2019
Relation extraction exploiting full dependency forests
L Jin, L Song, Y Zhang, K Xu, W Ma, D Yu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8034-8041, 2020
Unsupervised grammar induction with depth-bounded PCFG
L Jin, F Doshi-Velez, T Miller, W Schuler, L Schwartz
Transactions of the Association for Computational Linguistics 6, 211-224, 2018
Unsupervised learning of PCFGs with normalizing flow
L Jin, F Doshi-Velez, T Miller, L Schwartz, W Schuler
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Combining cnns and pattern matching for question interpretation in a virtual patient dialogue system
L Jin, M White, E Jaffe, L Zimmerman, D Danforth
Proceedings of the 12th Workshop on Innovative Use of NLP for Building …, 2017
Video-aided unsupervised grammar induction
S Zhang, L Song, L Jin, K Xu, D Yu, J Luo
arXiv preprint arXiv:2104.04369, 2021
Unified Mobile Learning Platform
EH Fang, F Ling, S Fan, L Jin, S Zhang
US Patent App. 14/462,692, 2015
Domain-adaptive pretraining methods for dialogue understanding
H Wu, K Xu, L Song, L Jin, H Zhang, L Song
arXiv preprint arXiv:2105.13665, 2021
A Comparison of Word Similarity Performance Using Explanatory and Non-explanatory Texts
L Jin, W Schuler
Conference of the North American Chapter of the Association for …, 2015
Modeling morphological learning, typology, and change: What can the neural sequence-to-sequence framework contribute?
M Elsner, AD Sims, A Erdmann, A Hernandez, E Jaffe, L Jin, ...
Journal of Language Modelling 7 (1), 53-98, 2019
Salience allocation as guidance for abstractive summarization
F Wang, K Song, H Zhang, L Jin, S Cho, W Yao, X Wang, M Chen, D Yu
arXiv preprint arXiv:2210.12330, 2022
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction
L Jin, F Doshi-Velez, T Miller, W Schuler, L Schwartz
arXiv preprint arXiv:1809.03112, 2018
Grounded PCFG induction with images
L Jin, W Schuler
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020
Using paraphrasing and memory-augmented models to combat data sparsity in question interpretation with a virtual patient dialogue system
L Jin, D King, A Hussein, M White, D Danforth
Proceedings of the thirteenth workshop on innovative use of NLP for building …, 2018
Hierarchical context tagging for utterance rewriting
L Jin, L Song, L Jin, D Yu, D Gildea
Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10849 …, 2022
Victoria Krakovna, Finale Doshi-Velez, Timothy Miller, William Schuler, and Lane Schwartz. 2016. Memory-bounded left-corner unsupervised grammar induction on child-directed input
C Shain, W Bryce, L Jin
Proceedings of the International Conference on Computational Linguistics …, 2016
The Overall Markedness of Discourse Relations
L Jin, MC de Marneffe
Conference on Empirical Methods in Natural Language Processing, 2015
Recommender System for E-Learning Based on Semantic Relatedness of Concepts
M Ye, Z Tang, J Xu, L Jin
Information, 443-453, 2015
Connect-the-dots: Bridging semantics between words and definitions via aligning word sense inventories
W Yao, X Pan, L Jin, J Chen, D Yu, D Yu
arXiv preprint arXiv:2110.14091, 2021
Depth-bounded statistical PCFG induction as a model of human grammar acquisition
L Jin, L Schwartz, F Doshi-Velez, T Miller, W Schuler
Computational Linguistics 47 (1), 181-216, 2021
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