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G. Bhargav, D. Khandelwal, S. Dana, D. Garg, P. Kapanipathi, S. Roukos, A. Gray, and L. Subramaniam. NAACL-HLT (Findings), page 1681-1697. Association for Computational Linguistics, (2022)

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Bhargav Vaidya

Lorenza P G Hausherr-Primo

Giuseppe G G Manzardo

P Kock

P Krebietke

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Translucent Answer Predictions in Multi-Hop Reading Comprehension.G. Bhargav, M. Glass, D. Garg, S. Shevade, S. Dana, D. Khandelwal, L. Subramaniam, and A. Gliozzo. AAAI, page 7700-7707. AAAI Press, (2020)Knowledge Graph Question Answering via SPARQL Silhouette Generation.S. Purkayastha, S. Dana, D. Garg, D. Khandelwal, and G. Bhargav. CoRR, (2021)Leveraging Abstract Meaning Representation for Knowledge Base Question Answering.P. Kapanipathi, I. Abdelaziz, S. Ravishankar, S. Roukos, A. Gray, R. Astudillo, M. Chang, C. Cornelio, S. Dana, A. Fokoue and 20 other author(s). ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3884-3894. Association for Computational Linguistics, (2021)A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases.S. Neelam, U. Sharma, H. Karanam, S. Ikbal, P. Kapanipathi, I. Abdelaziz, N. Mihindukulasooriya, Y. Lee, S. Srivastava, C. Pendus and 15 other author(s). CoRR, (2022)Zero-shot Entity Linking with Less Data.G. Bhargav, D. Khandelwal, S. Dana, D. Garg, P. Kapanipathi, S. Roukos, A. Gray, and L. Subramaniam. NAACL-HLT (Findings), page 1681-1697. Association for Computational Linguistics, (2022)A Deep Neural Approach to KGQA via SPARQL Silhouette Generation.S. Purkayastha, S. Dana, D. Garg, D. Khandelwal, and G. Bhargav. IJCNN, page 1-8. IEEE, (2022)Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.P. Kapanipathi, I. Abdelaziz, S. Ravishankar, S. Roukos, A. Gray, R. Astudillo, M. Chang, C. Cornelio, S. Dana, A. Fokoue and 20 other author(s). CoRR, (2020)Span Selection Pre-training for Question Answering.M. Glass, A. Gliozzo, R. Chakravarti, A. Ferritto, L. Pan, G. Bhargav, D. Garg, and A. Sil. CoRR, (2019)SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases.S. Neelam, U. Sharma, H. Karanam, S. Ikbal, P. Kapanipathi, I. Abdelaziz, N. Mihindukulasooriya, Y. Lee, S. Srivastava, C. Pendus and 15 other author(s). EMNLP (Findings), page 3866-3879. Association for Computational Linguistics, (2022)SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases.S. Neelam, U. Sharma, H. Karanam, S. Ikbal, P. Kapanipathi, I. Abdelaziz, N. Mihindukulasooriya, Y. Lee, S. Srivastava, C. Pendus and 15 other author(s). CoRR, (2021)

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Disambiguation of "Bhargav, G. P. Shrivatsa"

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Please choose a person to relate this publication to

Bhargav Vaidya

Lorenza P G Hausherr-Primo

Giuseppe G G Manzardo

P Kock

P Krebietke

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bhargav, G. P. Shrivatsa"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Zero-shot Entity Linking with Less Data.

Please choose a person to relate this publication to

Bhargav Vaidya

Lorenza P G Hausherr-Primo

Giuseppe G G Manzardo

P Kock

P Krebietke

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Zero-shot Entity Linking with Less Data.