Artykuły udostępnione publicznie: - Lifeng JinWięcej informacji
Niedostępny w żadnym miejscu: 1
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
Upoważnienia: US National Institutes of Health
Dostępne w jakimś miejscu: 13
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
Upoważnienia: US National Science Foundation, US Department of Defense
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
Upoważnienia: US Department of Defense
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
Upoważnienia: US National Science Foundation, US National Institutes of Health
Grounded PCFG induction with images
L Jin, W Schuler
Proceedings of the 1st conference of the asia-pacific chapter of the …, 2020
Upoważnienia: US National Science Foundation
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
Upoważnienia: US National Science Foundation, US National Institutes of Health
Recommender System for E-Learning Based on Semantic Relatedness of Concepts
M Ye, Z Tang, J Xu, L Jin
Information, 443-453, 2015
Upoważnienia: National Natural Science Foundation of China
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
Upoważnienia: US National Science Foundation, US Department of Defense
Character-based PCFG induction for modeling the syntactic acquisition of morphologically rich languages
L Jin, BD Oh, W Schuler
Findings of the Association for Computational Linguistics: EMNLP 2021, 4367-4378, 2021
Upoważnienia: US National Science Foundation
A randomized prospective study of a hybrid rule-and data-driven virtual patient
A Stiff, M White, E Fosler-Lussier, L Jin, E Jaffe, D Danforth
Natural Language Engineering 30 (1), 31-72, 2024
Upoważnienia: US National Science Foundation, US National Institutes of Health
Cross-Lingual Text-to-SQL Semantic Parsing with Representation Mixup
P Shi, L Song, L Jin, H Mi, H Bai, J Lin, D Yu
Findings of the Association for Computational Linguistics: EMNLP 2022, 5296-5306, 2022
Upoważnienia: Natural Sciences and Engineering Research Council of Canada
Variance of average surprisal: a better predictor for quality of grammar from unsupervised PCFG induction
L Jin, W Schuler
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Upoważnienia: US National Science Foundation, US Department of Defense
DPSG: Multi-Party Dialogue Discourse Parsing as Sequence Generation
A Wang, L Song, L Jin, J Yao, H Mi, C Lin, J Su, D Yu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 4004-4013, 2023
Upoważnienia: National Natural Science Foundation of China
Dynamic augmentation data selection for few-shot text classification
G Liu, O Yuan, L Jin, J Zhou
Proceedings of the Conference on Empirical Methods in Natural Language …, 2022
Upoważnienia: US National Science Foundation, US Department of Defense, US National …
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