COMMONSENSEQA: A Question Answering Challenge Targeting Commonsense Knowledge
題目與摘要 本文針對什麼任務？任務簡要介紹下。 創建問答數據集，基於知識圖譜 本文發現了什麼問題？該文大體是怎麼解決的？解決得如何？ 以往的問答都是針對給定文字或者段落，提出問題，選擇答案。回答問題所需的廣泛知識背景（段落未給出）比較少。 基於CONCEPTNET創建了COMMONSESENSEQA數據集。在CONCEPTNET中抽取具有相同語義關係的source concept和target
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相關文章
- 1. 【PaperReading】Knowledge Graph Embedding Based Question Answering
- 2. Improved Neural Relation Detection for Knowledge Base Question Answering
- 3. Knowledge Base Question Answering via Encodin of Complex Query Graphs
- 4. 論文略讀 | Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base
- 5. 論文解讀：Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Info...
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- 9. 【cs224n-7】Question Answering
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