| Learning Semantic Hierarchies via Word Embeddings R Fu, J Guo, B Qin, W Che, H Wang, T Liu Annual Meeting of the Association for Computational Linguistics (ACL), 1199-1209, 2014 | 337 | 2014 |
| Cross-lingual Dependency Parsing Based on Distributed Representations J Guo, W Che, D Yarowsky, H Wang, T Liu the 53rd Annual Meeting of the Association for Computational Linguistics and …, 2015 | 189 | 2015 |
| Revisiting Embedding Features for Simple Semi-supervised Learning J Guo, W Che, H Wang, T Liu Empirical Methods in Natural Language Processing (EMNLP), 110-120, 2014 | 153 | 2014 |
| Multi-Source Domain Adaptation with Mixture of Experts J Guo, DJ Shah, R Barzilay EMNLP, 2018 | 143 | 2018 |
| A general framework for content-enhanced network representation learning X Sun, J Guo, X Ding, T Liu arXiv preprint arXiv:1610.02906, 2016 | 102 | 2016 |
| Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources J Guo, W Che, H Wang, T Liu International Conference on Computational Linguistics (COLING), 497-507, 2014 | 100 | 2014 |
| Effective Deep Memory Networks for Distant Supervised Relation Extraction X Feng, J Guo, B Qin, T Liu, Y Liu In Proceedings of the 26th International Joint Conference on Artificial …, 2017 | 99 | 2017 |
| Graphie: A graph-based framework for information extraction Y Qian, E Santus, Z Jin, J Guo, R Barzilay arXiv preprint arXiv:1810.13083, 2018 | 93 | 2018 |
| Cross-lingual BERT transformation for zero-shot dependency parsing Y Wang, W Che, J Guo, Y Liu, T Liu arXiv preprint arXiv:1909.06775, 2019 | 91 | 2019 |
| A Representation Learning Framework for Multi-Source Transfer Parsing J Guo, W Che, D Yarowsky, H Wang, T Liu The Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016 | 85 | 2016 |
| Binary tree-inspired digital dendrimer Z Huang, Q Shi, J Guo, F Meng, Y Zhang, Y Lu, Z Qian, X Li, N Zhou, ... Nature communications 10 (1), 1918, 2019 | 79 | 2019 |
| Backpropagation through time J Guo Technical Report, 2013 | 78 | 2013 |
| A Neural Transition-Based Approach for Semantic Dependency Graph Parsing Y Wang, W Che, J Guo, T Liu AAAI, 2018 | 66 | 2018 |
| Exploring Segment Representations for Neural Segmentation Models Y Liu, W Che, J Guo, B Qin, T Liu 25th International Joint Conference on Artificial Intelligence, 2016 | 61 | 2016 |
| Evaluating and clustering retrosynthesis pathways with learned strategy Y Mo, P Verma, J Guo, ME Fortunato, Z Lu, CW Coley, KF Jensen Chemical Science, 2020 | 40 | 2020 |
| Chinese grammatical error diagnosis with long short-term memory networks B Zheng, W Che, J Guo, T Liu Proceedings of the 3rd Workshop on Natural Language Processing Techniques …, 2016 | 36 | 2016 |
| A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks J Guo, W Che, H Wang, T Liu International Conference on Computational Linguistics (COLING), 2016 | 32* | 2016 |
| Automated chemical reaction extraction from scientific literature J Guo, AS Ibanez-Lopez, H Gao, V Quach, CW Coley, KF Jensen, ... Journal of chemical information and modeling 62 (9), 1549-9596, 2021 | 24* | 2021 |
| A Unified Architecture for Semantic Role Labeling and Relation Classification J Guo, W Che, H Wang, T Liu, J Xu International Conference on Computational Linguistics (COLING), 2016 | 24 | 2016 |
| Learning semantic hierarchies: A continuous vector space approach R Fu, J Guo, B Qin, W Che, H Wang, T Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (3), 461-471, 2015 | 24 | 2015 |
Liu TingHarbin Institute of TechnologyVerified email at ir.hit.edu.cn
