发明申请
US20080201132A1 SYSTEM AND METHOD FOR FINDING THE MOST LIKELY ANSWER TO A NATURAL LANGUAGE QUESTION
有权
用于发现自然语言问题的最有帮助的系统和方法
- 专利标题: SYSTEM AND METHOD FOR FINDING THE MOST LIKELY ANSWER TO A NATURAL LANGUAGE QUESTION
- 专利标题(中): 用于发现自然语言问题的最有帮助的系统和方法
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申请号: US12110481申请日: 2008-04-28
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公开(公告)号: US20080201132A1公开(公告)日: 2008-08-21
- 发明人: Eric W. Brown , Anni R. Coden , John Martin Prager , Dragomir Radkov Radev , Valerie Samn
- 申请人: Eric W. Brown , Anni R. Coden , John Martin Prager , Dragomir Radkov Radev , Valerie Samn
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 主分类号: G06F17/27
- IPC分类号: G06F17/27
摘要:
Automated question answering is disclosed that relates to the selection of an answer to a question from a pool of potential answers which awe manually or automatically extracted from a large collection of textual documents. The a feature extraction component, a feature combination component, an answer selection component, and an answer presentation component, among others, are included. The input to the system is a set of one or more natural language questions and a collection of textual document The output is a (possibly ranked) set of factual answers to the questions, these answers being extracted from the document collection.
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