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Prayushi Faldu

2 accepted papers

2024

RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable Questions

ACL 2024long

An essential requirement for a real-world Knowledge Base Question Answering (KBQA) system is the ability to detect the answerability of questions when generating logical forms. However, state-of-the-art KBQA models assume all questions to be answerable. Recent research has found that such models, wh…

2023

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions

ACL 2023long

When answering natural language questions over knowledge bases, missing facts, incomplete schema and limited scope naturally lead to many questions being unanswerable. While answerability has been explored in other QA settings, it has not been studied for QA over knowledge bases (KBQA). We create Gr…