Lifeng Jin
Lifeng Jin
Verifierad e-postadress på osu.edu - Startsida
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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
132017
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
122018
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
82015
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
52019
The Overall Markedness of Discourse Relations
L Jin, MC de Marneffe
Conference on Empirical Methods in Natural Language Processing, 2015
52015
Victoria Krakovna, Finale Doshi-Velez, Timothy Miller, William Schuler, and Lane Schwartz. 2016. Memorybounded left-corner unsupervised grammar induction on child-directed input
C Shain, W Bryce, L Jin
Proceedings of the International Conference on Computational Linguistics …, 0
5
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
42019
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
42018
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, MB Johnson, ...
Journal of Language Modelling 7 (1), 53-98, 2019
32019
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
32018
OSU_CHGCG at SemEval-2016 Task 9: Chinese Semantic Dependency Parsing with Generalized Categorial Grammar
M Duan, L Jin, W Schuler
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
32016
Recommender System for E-Learning Based on Semantic Relatedness of Concepts
M Ye, Z Tang, J Xu, L Jin
Information, 443-453, 2015
32015
Unified hierarchical iterate model of human conceptualization and cognition
J Zhou, L Jin, S Han
2009 8th IEEE International Conference on Cognitive Informatics, 44-51, 2009
32009
Relation Extraction Exploiting Full Dependency Forests.
L Jin, L Song, Y Zhang, K Xu, W Ma, D Yu
AAAI, 8034-8041, 2020
22020
AZMAT: Sentence Similarity Using Associative Matrices
E Jaffe, L Jin, D King, M van Schijndel
SemEval: the 9th International Workshop on Semantic Evaluation, 2015
22015
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
12019
Method and system for key knowledge point recommendation
M Ye, JB Xu, Z Tang, L Jin, Y Wang
US Patent 10,289,623, 2019
12019
OCLSP at SemEval-2016 task 9: multilayered LSTM as a neural semantic dependency parser
L Jin, M Duan, W Schuler
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
12016
A Semantic Recommender System for Learning Based on Encyclopedia of Digital Publication
M Ye, L Jin, Z Tang, J Xu
Human-Computer Interaction International Conference 2014, 2014
12014
Sentences Extraction from Digital Publication for Domain-Specific Knowledge Service
M Ye, L Jin, Z Tang, J Xu
Human-Computer Interaction International Conference 2014, 2014
12014
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Artiklar 1–20