| The galactic dependencies treebanks: Getting more data by synthesizing new languages D Wang, J Eisner Transactions of the Association for Computational Linguistics 4, 491-505, 2016 | 64 | 2016 |
| Advertising keywords recommendation for short-text web pages using Wikipedia W Zhang, D Wang, GR Xue, H Zha ACM Transactions on Intelligent Systems and Technology (TIST) 3 (2), 1-25, 2012 | 50 | 2012 |
| Synthetic data made to order: The case of parsing D Wang, J Eisner Proceedings of the Conference on Empirical Methods in Natural Language …, 2018 | 36 | 2018 |
| A multi-task learning approach to adapting bilingual word embeddings for cross-lingual named entity recognition D Wang, N Peng, K Duh Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 21 | 2017 |
| Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning D Wang, J Eisner Transactions of the Association for Computational Linguistics 5, 147-161, 2017 | 21 | 2017 |
| Surface statistics of an unknown language indicate how to parse it D Wang, J Eisner Transactions of the Association for Computational Linguistics 6, 667-685, 2018 | 19 | 2018 |
| A generative model for punctuation in dependency trees XL Li, D Wang, J Eisner Transactions of the Association for Computational Linguistics 7, 357-373, 2019 | 5 | 2019 |
| Semantic feature representation to capture news impact B Xie, D Wang, RJ Passonneau The Twenty-Seventh International Flairs Conference, 2014 | 2 | 2014 |
| Modeling weather impact on a secondary electrical grid D Wang, RJ Passonneau, M Collins, C Rudin Procedia Computer Science 32, 631-638, 2014 | 2 | 2014 |
| Deep classifier for large scale hierarchical text classification D Wang, W Zhang, GR Xue, Y Yu | 2 | 2010 |
| Enhancing web search with queries of equivalent intents R Song, D Wang, JY Nie, JR Wen, Y Yu Information Retrieval Journal 19, 573-593, 2016 | 1 | 2016 |
| Supervised Training on Synthetic Languages: A Novel Framework for Unsupervised Parsing D Wang The Johns Hopkins University, 2019 | | 2019 |
| Predicting Fine-Grained Syntactic Typology from Surface Features D Wang, J Eisner Proceedings of the Society for Computation in Linguistics 1 (1), 227-228, 2018 | | 2018 |
Jason EisnerProfessor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
