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    • 2. 发明授权
    • Question-answering method and question-answering apparatus
    • 问答方法和问答设备
    • US07236968B2
    • 2007-06-26
    • US10766183
    • 2004-01-29
    • Minenobu SekiKatsumi MarukawaMasanobu Takatsu
    • Minenobu SekiKatsumi MarukawaMasanobu Takatsu
    • G06F7/00
    • G06F17/30654Y10S707/99931Y10S707/99933
    • A question document is divided into predetermined areas, and it is judged whether each divided area is important, to thereby extract an important area. A reply example candidate likelihood value is calculated for each important area, the likelihood value indicating the degree representative of whether each reply example candidate corresponds to a question content. By using the reply example candidate likelihood value, important areas having similar meanings are combined to extract final important parts. A reply example candidate is selected for each important part from reply example candidates prepared beforehand. A reply example candidate reliability degree representative of certainty of each reply example candidate and a reply composition degree indicating whether it is necessary to compose a new reply are calculated, and by using these values, question documents are distributed to different operator terminals.
    • 问题文件被划分为预定区域,并且判断每个分割区域是否重要,从而提取重要区域。 针对每个重要区域计算答复示例候选似然值,表示表示每个回答示例候选对应于问题内容的程度的似然值。 通过使用答复示例候选似然值,组合具有相似意义的重要区域来提取最终的重要部分。 从预先准备的答复示例候选中为每个重要部分选择答复示例候选。 计算表示每个应答示例候选者的确定性的答复示例候选可靠度以及表示是否需要组成新的答复的回复组合度,并且通过使用这些值,将问题文档分发给不同的操作员终端。
    • 3. 发明申请
    • Question-answering method and question-answering apparatus
    • 问答方法和问答设备
    • US20050060301A1
    • 2005-03-17
    • US10766183
    • 2004-01-29
    • Minenobu SekiKatsumi MarukawaMasanobu Takatsu
    • Minenobu SekiKatsumi MarukawaMasanobu Takatsu
    • G06F17/30G06F7/00G06F15/00G06F17/28
    • G06F17/30654Y10S707/99931Y10S707/99933
    • A question document is divided into predetermined areas, and it is judged whether each divided area is important, to thereby extract an important area. A reply example candidate likelihood value is calculated for each important area, the likelihood value indicating the degree representative of whether each reply example candidate corresponds to a question content. By using the reply example candidate likelihood value, important areas having similar meanings are combined to extract final important parts. A reply example candidate is selected for each important part from reply example candidates prepared beforehand. A reply example candidate reliability degree representative of certainty of each reply example candidate and a reply composition degree indicating whether it is necessary to compose a new reply are calculated, and by using these values, question documents are distributed to different operator terminals.
    • 问题文件被划分为预定区域,并且判断每个分割区域是否重要,从而提取重要区域。 针对每个重要区域计算答复示例候选似然值,表示表示每个回答示例候选对应于问题内容的程度的似然值。 通过使用答复示例候选似然值,组合具有相似意义的重要区域来提取最终的重要部分。 从预先准备的答复示例候选中为每个重要部分选择答复示例候选。 计算表示每个应答示例候选者的确定性的答复示例候选可靠度以及表示是否需要组成新的答复的回复组合度,并且通过使用这些值,将问题文档分发给不同的操作员终端。