Saswati Dana
Saswati Dana
IBM Research Lab, Bangalore
Verified email at
Cited by
Cited by
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
The techqa dataset
V Castelli, R Chakravarti, S Dana, A Ferritto, R Florian, M Franz, D Garg, ...
arXiv preprint arXiv:1911.02984, 2019
Physically consistent simulation of mesoscale chemical kinetics: The non-negative FIS-α method
S Dana, S Raha
Journal of Computational Physics 230 (24), 8813-8834, 2011
Translucent Answer Predictions in Multi-Hop Reading Comprehension
AGIBMR G P Shrivatsa Bhargav (IISc), Michael R. Glass (IBM Research), Dinesh ...
AAAI, 2020
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
Computation of restoration of ligand response in the random kinetics of a prostate cancer cell signaling pathway
S Dana, T Nakakuki, M Hatakeyama, S Kimura, S Raha
computer methods and programs in biomedicine 101 (1), 1-22, 2011
A deep neural approach to kgqa via sparql silhouette generation
S Purkayastha, S Dana, D Garg, D Khandelwal, GPS Bhargav
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 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
Knowledge graph question answering via SPARQL silhouette generation
S Purkayastha, S Dana, D Garg, D Khandelwal, GP Bhargav
arXiv preprint arXiv:2109.09475, 2021
Gas-selective signal amplification in fluctuation-based graphene FET sensors
S Dana, MM Varma
IEEE Sensors Journal 16 (17), 6533-6536, 2016
Activator-induced dynamic disorder and molecular memory in human two-pore domain hTREK1 K+ channel
TK Nayak, S Dana, S Raha, SK Sikdar
Journal of chemical biology 4, 69-84, 2011
Zero-shot Entity Linking with Less Data
GPS Bhargav, D Khandelwal, S Dana, D Garg, P Kapanipathi, S Roukos, ...
Findings of the Association for Computational Linguistics: NAACL 2022, 1681-1697, 2022
Explaining cross domain model predictions
D Saswati, D Garg, S Chemmengath, S Kenkre, LV Subramaniam
US Patent 11,501,115, 2022
Zero-shot entity linking based on symbolic information
D Khandelwal, GPS Bhargav, D Saswati, D Garg, PK Bangalore, ...
US Patent App. 17/575,951, 2023
S Tamilselvam, D Khandelwal, S Dana, P Kumar, D Garg
Asian Conference on Machine Learning, 2022
Chart erratum and refactoring
ZA Silverstein, TL Hewitt, D Saswati, MS Jaiswal, JD Dunne
US Patent 11,308,667, 2022
Semantic Answer Type Prediction using Dense Type Embeddings
GPS Bhargav, D Khandelwal, D Garg, S Dana
SeMantic Answer Type and Relation Prediction Task at ISWC Semantic Web Challenge, 2021
Constructing Micro Knowledge Graphs from Technical Support Documents
A Kumar, N Gupta, S Dana
The Semantic Web: ESWC 2021 Satellite Events: Virtual Event, June 6–10, 2021 …, 2021
Chart erratum and refactoring
US Patent US11308667B1, 2020
Entity and Relation Linking is All You Need for KGQA
S Purkayatha, S Dana, GPS Bhargav, D Khandelwal, D Garg
Annual Conference on Neural Information Processing Systems, 2020
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