Relation classification via recurrent neural network D Zhang, D Wang arXiv preprint arXiv:1508.01006, 2015 | 455 | 2015 |
Smoothing the geometry of probabilistic box embeddings X Li, L Vilnis, D Zhang, M Boratko, A McCallum ICLR 2019, 2018 | 93 | 2018 |
Improving Local Identifiability in Probabilistic Box Embeddings SS Dasgupta, M Boratko, D Zhang, L Vilnis, XL Li, A McCallum Neurips 2020, 2020 | 51 | 2020 |
Word embedding perturbation for sentence classification D Zhang, Z Yang arXiv preprint arXiv:1804.08166, 2018 | 50 | 2018 |
Joint semantic relevance learning with text data and graph knowledge D Zhang, B Yuan, D Wang, R Liu Proceedings of the 3rd Workshop on Continuous Vector Space Models and their …, 2015 | 47 | 2015 |
Learning from LDA using deep neural networks D Zhang, T Luo, D Wang International Conference on Computer Processing of Oriental Languages, 657-664, 2016 | 27 | 2016 |
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference D Zhang, S Mukherjee, C Lockard, XL Dong, A McCallum NAACL 2019, 2019 | 23 | 2019 |
Event-Event Relation Extraction using Probabilistic Box Embedding EJ Hwang, JY Lee, T Yang, D Patel, D Zhang, A McCallum ACL 2022, 2022 | 18 | 2022 |
Bitext Name Tagging for Cross-lingual Entity Annotation Projection D Zhang, B Zhang, X Pan, X Feng, H Ji, W Xu COLING, 461–470, 2016 | 13 | 2016 |
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs M Boratko*, D Zhang*, N Monath, L Vilnis, KL Clarkson, A McCallum Neurips 2021, 2021 | 12 | 2021 |
PKU@ CLSciSumm-17: Citation Contextualization D Zhang, S Li Proc. of the 2nd Joint Workshop on Bibliometric-enhanced Information …, 2017 | 12 | 2017 |
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes D Zhang*, S Mohan*, M Torkar, A McCallum LREC 2022, 2022 | 10 | 2022 |
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks A Rooshenas, D Zhang, G Sharma, A McCallum Neurips 2019, 2018 | 10 | 2018 |
Box-To-Box Transformation for Modeling Joint Hierarchies SS Dasgupta, X Li, M Boratko, D Zhang, A McCallum | 6 | 2020 |
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings D Zhang, M Boratko, CN Musco, A McCallum NeurIPS 2022, 2022 | 5 | 2022 |
BUPT_PRIS at TREC 2014 knowledge base acceleration track Y Qi, Y Xu, D Zhang, W Xu Proceedings of the Twenty-Third Text Retrieval Conference (TREC 2014), 2014 | 5 | 2014 |
Graph Representation Learning with Box Embeddings D Zhang University of Massachusetts Amherst, 2023 | | 2023 |
Enhanced Distant Supervision with State-Change Information for Relation Extraction J Shah*, D Zhang*, S Brody, A McCallum LREC 2022, 2022 | | 2022 |