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Srinivas Ravishankar
Observed name:
Ravishankar, Srinivas
Institution:
University of California San Diego
Observed institutions:
IBM (United States),
University of Massachusetts Amherst,
University of California San Diego,
R.V. College of Engineering
ORCID:
0000-0002-8848-9722
Observed ORCID:
0000-0002-8848-9722
OpenAlex ID:
A5037485111
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering
2021
·
Pavan Kapanipathi
, Ibrahim Abdelaziz
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
·
85
PDF
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering
2021
·
Tahira Naseem
, Srinivas Ravishankar
, et al.
·
29
PDF
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering
2021
·
Ibrahim Abdelaziz
, Srinivas Ravishankar
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
26
PDF
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.
2020
·
Pavan Kapanipathi
, Ibrahim Abdelaziz
, et al.
·
arXiv (Cornell University)
·
24
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering
2022
·
Srinivas Ravishankar
, Dung Thai
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
22
PDF
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization
2022
·
Subhajit Chaudhury
, Sarathkrishna Swaminathan
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
14
PDF
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases
2022
·
Sumit Neelam
, Udit Sharma
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
13
PDF
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases
2022
·
Thai, Dung
, Ravishankar, Srinivas
, et al.
·
arXiv (Cornell University)
·
9
PDF
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering
2020
·
Kapanipathi, Pavan
, Abdelaziz, Ibrahim
, et al.
·
arXiv (Cornell University)
·
9
PDF
Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs
2017
·
Ravishankar, Srinivas
, Chandrahas
, et al.
·
arXiv (Cornell University)
·
9
PDF
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
2022
·
Neelam, Sumit
, Sharma, Udit
, et al.
·
arXiv (Cornell University)
·
7
PDF
Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling
2021
·
Srinivas Ravishankar
, Mariya Toneva
, et al.
·
Frontiers in Computational Neuroscience
·
5
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
2021
·
Neelam, Sumit
, Sharma, Udit
, et al.
·
arXiv (Cornell University)
·
5
PDF
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
2023
·
Vijay Veerabadran
, Srinivas Ravishankar
, et al.
·
neural information processing systems
·
2
PDF
Conserved Kinematic Representations enable Zero-Shot Decoding in Handwriting BCIs
2026
·
Ravishankar, Srinivas
, de Sa, Virginia
·
arXiv (Cornell University)
PDF
Handwriting decoding as a challenging motor task for EEG Foundation Models
2026
·
Ravishankar, Srinivas
, Ghosh, Ishayu
, et al.
·
arXiv (Cornell University)
PDF
Decoding Imagined Handwriting from EEG
2025
·
Ravishankar, Srinivas
, Zajzon, Nora
, et al.
·
arXiv (Cornell University)
PDF
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering
2021
·
Ravishankar, Srinivas
, Thai, June
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
20
Citation count:
259
H-index:
9
I10-index:
7
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