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Sumit Neelam
Sumit Neelam
IBM Research
在 in.ibm.com 的电子邮件经过验证
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Logical neural networks
R Riegel, A Gray, F Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ...
arXiv preprint arXiv:2006.13155, 2020
1662020
Leveraging abstract meaning representation for knowledge base question answering
P Kapanipathi, I Abdelaziz, S Ravishankar, S Roukos, A Gray, R Astudillo, ...
arXiv preprint arXiv:2012.01707, 2020
130*2020
LNN-EL: A neuro-symbolic approach to short-text entity linking
H Jiang, S Gurajada, Q Lu, S Neelam, L Popa, P Sen, Y Li, A Gray
arXiv preprint arXiv:2106.09795, 2021
262021
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
162021
QUEST: An exploratory approach to robust query processing
A Dutt, S Neelam, JR Haritsa
Proceedings of the VLDB Endowment 7 (13), 1585-1588, 2014
162014
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
122022
Logical neural networks (2020)
R Riegel, A Gray, F Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ...
arXiv preprint arXiv:2006.13155, 2006
122006
Logical neural networks, CoRR abs/2006.13155 (2020)
R Riegel, AG Gray, FPS Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ...
URL: https://arxiv. org/abs/2006 13155, 2020
62020
Best of Both Worlds: Towards Improving Temporal Knowledge Base Question Answering via Targeted Fact Extraction
N Kannen, U Sharma, S Neelam, D Khandelwal, S Ikbal, H Karanam, ...
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
32023
Scalable Reasoning Infrastructure for Large Scale Knowledge Bases.
HP Karanam, S Neelam, U Sharma, S Bhatia, S Bedathur, ...
ISWC (P&D/Industry/BlueSky), 2018
32018
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
I Abdelaziz, K Basu, M Agarwal, S Kumaravel, M Stallone, R Panda, ...
arXiv preprint arXiv:2407.00121, 2024
12024
Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases
S Neelam, U Sharma, S Bhatia, H Karanam, A Likhyani, I Abdelaziz, ...
arXiv preprint arXiv:2209.05828, 2022
12022
Targeted extraction of temporal facts from textual resources for improved temporal question answering over knowledge bases
N Kannen, U Sharma, S Neelam, D Khandelwal, S Ikbal, H Karanam, ...
arXiv preprint arXiv:2203.11054, 2022
12022
Design and implementation techniques for plan bouquet
S Neelam
Master’s thesis, Database Systems Lab, Indian Institute of Science …, 2014
12014
An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants
GP Bhargav, S Neelam, U Sharma, S Ikbal, D Sreedhar, H Karanam, ...
arXiv preprint arXiv:2406.08848, 2024
2024
An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants
GP Shrivatsa Bhargav, S Neelam, U Sharma, S Ikbal, D Sreedhar, ...
arXiv e-prints, arXiv: 2406.08848, 2024
2024
Partitioning and parallel loading of property graphs with constraints
S Neelam, HP Karanam, U Sharma, SI Mohamed, S Srivastava, ...
US Patent 11,977,580, 2024
2024
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge
S Ikbal, U Sharma, H Karanam, S Neelam, R Luss, D Sreedhar, ...
Findings of the Association for Computational Linguistics: EMNLP 2023, 1707-1718, 2023
2023
Extracting query-related temporal information from unstructured text documents
U Sharma, HP Karanam, SI Mohamed, S Neelam, S Srivastava, ...
US Patent App. 17/543,127, 2023
2023
System and method for approximate reasoning using ontologies and unstructured data
HP Karanam, SI Mohamed, S Bhatia, S Neelam, LV Subramaniam, ...
US Patent 11,443,213, 2022
2022
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