https://scholars.lib.ntu.edu.tw/handle/123456789/629164
標題: | Unanswerable Question Correction and Explanation over Personal Knowledge Base | 作者: | Yen, An Zi Huang, Hen Hsen HSIN-HSI CHEN |
關鍵字: | explainability | personal knowledge base question answering | unanswerable question | 公開日期: | 17-十月-2022 | 來源出版物: | International Conference on Information and Knowledge Management, Proceedings | 摘要: | Handling unanswerable questions in knowledge base question answering (KBQA) has been a focus in recent years. However, how to explain why a given question is unanswerable is rarely discussed. In this work, we seek not only to correct unanswerable questions based on a personal knowledge base, but also to explain the reason of the correction. We argue that different types of questions need heterogeneous subgraphs with different types of connections. We thus propose a heterogeneous subgraph aggregation network with a two-level attention mechanism to detect important entities and relations in subgraphs and attend to informative subgraphs for different questions. We conduct comprehensive experiments on five subgraphs and their combinations, with results that attest the effectiveness of incorporating heterogeneous subgraphs. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/629164 | ISBN: | 9781450392365 | DOI: | 10.1145/3511808.3557717 |
顯示於: | 資訊工程學系 |
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