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Leveraging Abstract Meaning Representation for Knowledge Base Question Answering | Synapse

January 1, 2021Open Access

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering

PKPavan KapanipathiKarlsruhe Institute of Technology IAIbrahim AbdelazizIBM (United States)SRSrinivas Ravishankar

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Abstract

Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G P Shrivatsa Bhargav, Mo Yu. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. 2021.

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Cite This Study

Kapanipathi et al. (Fri,) studied this question.

synapsesocial.com/papers/6a17b1b9d990e918e6b463e9 https://doi.org/https://doi.org/10.18653/v1/2021.findings-acl.339