論文略讀 | Pattern-revising Enhanced Simple Question Answering over Knowledge Bases
這是何世柱老師團隊發表於COLING2018的一篇文章。 一. 文章貢獻： 提出進行模式提取和實體鏈接，並提出模式修改程序來緩解錯誤傳播問題 學習對候選主謂詞對進行排序以使得能夠在給出問題的情況下進行相關事實檢索，我們建議通過關係檢測來增強聯合事實選擇。利用多級編碼和多維信息（計算語義相似性，問題話語和主語謂語對的多級編碼）來加強整個過程 我們的方法在Simple KB-QA任務中創造了一項新記錄
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相關文章
- 1. 論文解讀：Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
- 2. 論文略讀 | Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base
- 3. A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs 論文解讀
- 4. 論文解讀：Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Info...
- 5. # Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Netwo
- 6. Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
- 7. 論文淺嘗 | Question Answering over Freebase
- 8. 【PaperReading】Knowledge Graph Embedding Based Question Answering
- 9. 論文閱讀 Question Answering
- 10. Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks2