| Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text A Sakor, IO Mulang', K Singh, S Shekarpour, ME Vidal, J Lehmann, ... NAACL-HLT, 2019 | 118 | 2019 |
| RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network A Bastos, A Nadgeri, K Singh, IO Mulang, S Shekarpour, J Hoffart The Web Conference (WWW'21), 2021 | 104* | 2021 |
| Evaluating the impact of knowledge graph context on entity disambiguation models IO Mulang', K Singh, C Prabhu, A Nadgeri, J Hoffart, J Lehmann Proceedings of the 29th ACM International Conference on Information …, 2020 | 77* | 2020 |
| CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata MPK Ravi, K Singh, IO Mulang', S Shekarpour, J Hoffart, J Lehmann EACL-2021 (Full Paper), 2021 | 58 | 2021 |
| Matching Natural Language Relations to Knowledge Graph Properties for Question Answering IO Mulang', K Singh, F Orlandi In proceedings of Semantics 2017, Amsterdam, Netherlands, 2017 | 51 | 2017 |
| Capturing Knowledge in Semantically-typed Relational Patterns to Enhance Relation Linking K Singh, IO Mulang', M Yaser, A Sakor, ME Vidal, C Lange, S Auer Knowledge Capture (K-Cap 2017), 2017 | 40 | 2017 |
| Kgpool: Dynamic knowledge graph context selection for relation extraction A Nadgeri, A Bastos, K Singh, IO Mulang, J Hoffart, S Shekarpour, ... arXiv preprint arXiv:2106.00459, 2021 | 33 | 2021 |
| Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking IO Mulang', K Singh, A Vyas, S Shekarpour, ME Vidal, S Auer, J Lehmann Web Information Systems Engineering (WISE 2020), 2020 | 22* | 2020 |
| Hopfe: Knowledge graph representation learning using inverse hopf fibrations A Bastos, K Singh, A Nadgeri, S Shekarpour, IO Mulang, J Hoffart Proceedings of the 30th ACM international conference on information …, 2021 | 20 | 2021 |
| How Expressive are Transformers in Spectral Domain for Graphs? A Bastos, A Nadgeri, K Singh, H Kanezashi, T Suzumura, IO Mulang arXiv preprint arXiv:2201.09332, 2022 | 17 | 2022 |
| Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions J D’Souza, IO Mulang', S Auer EMNLP | Proceedings of the Thirteenth Workshop on Graph-Based Methods for …, 2019 | 13* | 2019 |
| Fine-tuning BERT with Focus Words for Explanation Regeneration IO Mulang', J D’Souza, S Auer Proceedings of the Ninth Joint Conference on Lexical and Computational …, 2020 | 3 | 2020 |
| Automated supervised feature selection for differentiated patterns of care C Wanjiru, W Ogallo, GA Tadesse, C Wachira, IO Mulang, ... arXiv preprint arXiv:2111.03495, 2021 | 2 | 2021 |
| Post-discovery analysis of anomalous subsets IO Mulang, W Ogallo, GA Tadesse, A Walcott-Bryant arXiv preprint arXiv:2111.14622, 2021 | 1 | 2021 |
| Social Media Temporal Absence Recommendation: a Collaborative Filtering Perspective IO Mulang' | 1 | 2015 |
| Ranking Facts for Explaining Answers to Elementary Science Questions J D'Souza, IO Mulang', S Auer https://www.doi.org/10.1017/S1351324921000358, 2022 | | 2022 |
| Sparsity-based Feature Selection for Anomalous Subgroup Discovery GA Tadesse, W Ogallo, C Wanjiru, C Wachira, IO Mulang, V Anand, ... arXiv preprint arXiv:2201.02008, 2022 | | 2022 |
| Knowledge Context for Entity and Relation Linking (Ph.D. Thesis) IO Mulang' Dissertation, Bonn, Rheinische Friedrich-Wilhelms-Universität, 2021, 2021 | | 2021 |
| Evaluating the Impact of Knowledge Graph Context On Entity Disambiguation Models IO Mulang', K Singh, C Prabhu, A Nadgeri, J Hoffart, J Lehmann CIKM'20, 2020 | | 2020 |
| Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models I Onando Mulang, K Singh, C Prabhu, A Nadgeri, J Hoffart, J Lehmann arXiv e-prints, arXiv: 2008.05190, 2020 | | 2020 |
Kuldeep SinghDirector- AI TechnologiesVerified email at cerence.com
