Srinivas Ravishankar
Srinivas Ravishankar
Research SE II, IBM Research
Verified email at - Homepage
Cited by
Cited by
Leveraging abstract meaning representation for knowledge base question answering
S Ravishankar, P Kapanipathi, I Abdelaziz, S Roukos, A Gray, ...
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
Leveraging semantic parsing for relation linking over knowledge bases
N Mihindukulasooriya, G Rossiello, P Kapanipathi, I Abdelaziz, ...
International Semantic Web Conference, 402-419, 2020
A semantics-aware transformer model of relation linking for knowledge base question answering
T Naseem, S Ravishankar, N Mihindukulasooriya, I Abdelaziz, YS Lee, ...
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
Revisiting simple neural networks for learning representations of knowledge graphs
S Ravishankar, Chandrahas, P Talukdar
6th Workshop on Automated Knowledge Base Construction (AKBC) at NIPS, 2017
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
S Neelam, U Sharma, H Karanam, S Ikbal, P Kapanipathi, I Abdelaziz, ...
arXiv preprint arXiv:2109.13430, 2021
A semantic parsing and reasoning-based approach to knowledge base question answering
S Ravishankar, I Abdelaziz, P Kapanipathi, S Roukos, A Gray
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15985 …, 2021
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases
D Thai, S Ravishankar, I Abdelaziz, M Chaudhary, N Mihindukulasooriya, ...
arXiv preprint arXiv:2204.08554, 2022
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
S Neelam, U Sharma, H Karanam, S Ikbal, P Kapanipathi, I Abdelaziz, ...
arXiv preprint arXiv:2201.05793, 2022
Single-trial MEG data can be denoised through cross-subject predictive modeling
S Ravishankar, M Toneva, L Wehbe
Frontiers in computational neuroscience, 82, 2021
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering
S Ravishankar, J Thai, I Abdelaziz, N Mihidukulasooriya, T Naseem, ...
arXiv preprint arXiv:2111.05825, 2021
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