Papers with ranking-based KBQA models
ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering (2022.coling-1)
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| Challenge: | Existing ranking-based KBQA models struggle with flexibility in predicting complicated queries and have impractical running time. |
| Approach: | They propose a new generation-based question answering on knowledge bases model that addresses both large search space and ambiguities in schema linking. |
| Outcome: | The proposed model overcomes two intertwined challenges on popular KBQA datasets and is highly competitive and efficient. |