发明申请
- 专利标题: PREDICTING LEXICAL ANSWER TYPES IN OPEN DOMAIN QUESTION AND ANSWERING (QA) SYSTEMS
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申请号: US13552260申请日: 2012-07-18
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公开(公告)号: US20130035930A1公开(公告)日: 2013-02-07
- 发明人: David A. Ferrucci , Alfio M. Gliozzo , Aditya A. Kalyanpur
- 申请人: David A. Ferrucci , Alfio M. Gliozzo , Aditya A. Kalyanpur
- 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:
In an automated Question Answer (QA) system architecture for automatic open-domain Question Answering, a system, method and computer program product for predicting the Lexical Answer Type (LAT) of a question. The approach is completely unsupervised and is based on a large-scale lexical knowledge base automatically extracted from a Web corpus. This approach for predicting the LAT can be implemented as a specific subtask of a QA process, and/or used for general purpose knowledge acquisition tasks such as frame induction from text.
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