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20212026
most citedGranite Code Models: A Family of Open Foundation Models for Code Intelligence

10 citations · 34 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.CL2021

Learning to Transpile AMR into SPARQL

Mihaela Bornea, Ramon Fernandez Astudillo, Tahira Naseem +5

We propose a transition-based system to transpile Abstract Meaning Representation (AMR) into SPARQL for Knowledge Base Question Answering (KBQA). This allows us to delegate part of…

cs.CL2021

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering

Srinivas Ravishankar, June Thai, Ibrahim Abdelaziz +5

Most existing approaches for Knowledge Base Question Answering (KBQA) focus on a specific underlying knowledge base either because of inherent assumptions in the approach, or becau…

cs.CL2021★ 4 cited

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases

Sumit Neelam, Udit Sharma, Hima Karanam +21

Knowledge Base Question Answering (KBQA) tasks that in-volve complex reasoning are emerging as an important re-search direction. However, most KBQA systems struggle withgeneralizab…

cs.AI2021★ 1 cited

Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion

Prithviraj Sen, Breno W. S. R. Carvalho, Ibrahim Abdelaziz +4

Recent interest in Knowledge Base Completion (KBC) has led to a plethora of approaches based on reinforcement learning, inductive logic programming and graph embeddings. In particu…

cs.CL2021

Generative Relation Linking for Question Answering over Knowledge Bases

Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz +4

Relation linking is essential to enable question answering over knowledge bases. Although there are various efforts to improve relation linking performance, the current state-of-th…