专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08832064B2 Answer determination for natural language questioning 有权
标题翻译：回答自然语言提问的决心
公开(公告)号：US08832064B2
公开(公告)日：2014-09-09
申请号：US11319188
申请日：2005-12-28
申请人： Svetlana Stenchikova , Gokhan Tur , Dilek Hakkani Tur
发明人： Svetlana Stenchikova , Gokhan Tur , Dilek Hakkani Tur
IPC分类号： G06F7/00 , G06F17/30 , G06F17/27
CPC分类号： G06F17/30401 , G06F17/279 , G06F17/30657 , G06F17/30864
摘要： Open-domain question answering is the task of finding a concise answer to a natural language question using a large domain, such as the Internet. The use of a semantic role labeling approach to the extraction of the answers to an open domain factoid (Who/When/What/Where) natural language question that contains a predicate is described. Semantic role labeling identities predicates and semantic argument phrases in the natural language question and the candidate sentences. When searching for an answer to a natural language question, the missing argument in the question is matched using semantic parses of the candidate answers. Such a technique may improve the accuracy of a question answering system and may decrease the length of answers for enabling voice interface to a question answering system.
摘要翻译：开放域问答是使用大型域（如互联网）找到一个简明的自然语言问题答案的任务。描述了使用语义角色标注方法来提取对包含谓词的开放域factoid（Who / When / What / Where）自然语言问题的答案。自然语言问题和候选句子中的语义角色标识身份谓词和语义参数短语。在搜索自然语言问题的答案时，使用候选答案的语义分析来匹配问题中的缺失参数。这样的技术可以提高问答系统的准确性，并且可以减少用于启用语音接口到问答系统的答案的长度。

2. 发明申请

US20070136246A1 Answer determination for natural language questioning 有权
标题翻译：回答自然语言提问的决心
公开(公告)号：US20070136246A1
公开(公告)日：2007-06-14
申请号：US11319188
申请日：2005-12-28
申请人： Svetlana Stenchikova , Gokhan Tur , Dilek Tur
发明人： Svetlana Stenchikova , Gokhan Tur , Dilek Tur
IPC分类号： G06F17/30
CPC分类号： G06F17/30401 , G06F17/279 , G06F17/30657 , G06F17/30864
摘要： Open-domain question answering is the task of finding a concise answer to a natural language question using a large domain, such as the Internet. The use of a semantic role labeling approach to the extraction of the answers to an open domain factoid (Who/When/What/Where) natural language question that contains a predicate is described. Semantic role labeling identities predicates and semantic argument phrases in the natural language question and the candidate sentences. When searching for an answer to a natural language question, the missing argument in the question is matched using semantic parses of the candidate answers. Such a technique may improve the accuracy of a question answering system and may decrease the length of answers for enabling voice interface to a question answering system.
摘要翻译：开放域问答是使用大型域（如互联网）找到一个简明的自然语言问题答案的任务。描述了使用语义角色标注方法来提取对包含谓词的开放域factoid（Who / When / What / Where）自然语言问题的答案。自然语言问题和候选句子中的语义角色标识身份谓词和语义参数短语。在搜索自然语言问题的答案时，使用候选答案的语义分析来匹配问题中的缺失参数。这样的技术可以提高问答系统的准确性，并且可以减少用于启用语音接口到问答系统的答案的长度。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式