| Fine-grained entity typing via hierarchical multi graph convolutional networks H Jin, L Hou, J Li, T Dong Proceedings of the 2019 conference on empirical methods in Natural Language …, 2019 | 63 | 2019 |
| A natural language question answering system as a participant in human Q&A portals T Dong, U Furbach, I Glöckner, B Pelzer Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 39 | 2011 |
| Joint representation learning of cross-lingual words and entities via attentive distant supervision Y Cao, L Hou, J Li, Z Liu, C Li, X Chen, T Dong arXiv preprint arXiv:1811.10776, 2018 | 38 | 2018 |
| Attributed and predictive entity embedding for fine-grained entity typing in knowledge bases H Jin, L Hou, J Li, T Dong Proceedings of the 27th international conference on computational …, 2018 | 36 | 2018 |
| Triple classification using regions and fine-grained entity typing T Dong, Z Wang, J Li, C Bauckhage, AB Cremers Proceedings of the AAAI conference on artificial intelligence 33 (01), 77-85, 2019 | 35 | 2019 |
| Imposing category trees onto word-embeddings using a geometric construction T Dong, C Bauckhage, H Jin, J Li, O Cremers, D Speicher, AB Cremers, ... International Conference on Learning Representations, 2018 | 24 | 2018 |
| A comment on RCC: from RCC to RCC++ T Dong Journal of Philosophical Logic 37 (4), 319-352, 2008 | 23 | 2008 |
| SNAPVis and SPANVis: Ontologies for recognizing variable vista spatial environments T Dong Spatial Cognition IV. Reasoning, Action, Interaction: International …, 2005 | 14 | 2005 |
| Prototypes within minimum enclosing balls C Bauckhage, R Sifa, T Dong Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019 | 12 | 2019 |
| Interpretable and low-resource entity matching via decoupling feature learning from decision making Z Yao, C Li, T Dong, X Lv, J Yu, L Hou, J Li, Y Zhang, Z Dai arXiv preprint arXiv:2106.04174, 2021 | 10 | 2021 |
| A Geometric Approach to the Unification of Symbolic Structures and Neural Networks T Dong Springer Nature, 2020 | 8 | 2020 |
| Recognizing Variable Environments: The Theory of Cognitive Prism T Dong Springer Science & Business Media, 2011 | 7 | 2011 |
| How Can Cross-lingual Knowledge Contribute Better to Fine-Grained Entity Typing? H Jin, T Dong, L Hou, J Li, H Chen, Z Dai, Q Yincen Findings of the Association for Computational Linguistics: ACL 2022, 3071-3081, 2022 | 5 | 2022 |
| Structure and Learning (Dagstuhl Seminar 21362) T Dong, A Rettinger, J Tang, B Tversky, F van Harmelen Schloss-Dagstuhl-Leibniz Zentrum für Informatik, 2022 | 4 | 2022 |
| Learning Syllogism with Euler Neural-Networks T Dong, C Li, C Bauckhage, J Li, S Wrobel, AB Cremers arXiv preprint arXiv:2007.07320, 2020 | 4 | 2020 |
| A novel machine translation method for learning Chinese as a foreign language T Dong, AB Cremers International Conference on Intelligent Text Processing and Computational …, 2014 | 4 | 2014 |
| Knowledge Representation for Distances and Orientations of Regions T Dong International Journal of Cognitive Informatics and Natural Intelligence …, 2007 | 4 | 2007 |
| MODELING HUMAN INTELLIGENCE WITH SLOW INTELLIGENCE SYSTEMS T Dong International Journal of Software Engineering and Knowledge Engineering 22 …, 2012 | 3 | 2012 |
| Word Expert Translation from German into Chinese in the Slow Intelligence Framework. T Dong, I Glöckner DMS, 16-21, 2011 | 3 | 2011 |
| LogAnswer in Question Answering Forums. B Pelzer, I Glöckner, T Dong ICAART (1), 492-497, 2011 | 3 | 2011 |
Juanzi LiTsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn