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cs.CL2023
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning
Mayur Patidar, Riya Sawhney, Avinash Singh +3
Existing Knowledge Base Question Answering (KBQA) architectures are hungry for annotated data, which make them costly and time-consuming to deploy. We introduce the problem of few-…
cs.CL2022
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions
Mayur Patidar, Prayushi Faldu, Avinash Singh +3
When answering natural language questions over knowledge bases, missing facts, incomplete schema and limited scope naturally lead to many questions being unanswerable. While answer…