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

US07974963B2 Method and system for retrieving confirming sentences 有权
标题翻译：检索确认句子的方法和系统
公开(公告)号：US07974963B2
公开(公告)日：2011-07-05
申请号：US11187567
申请日：2005-07-22
申请人： Ming Zhou , Hua Wu , Yue Zhang , Jianfeng Gao , Chang-Ning Huang
发明人： Ming Zhou , Hua Wu , Yue Zhang , Jianfeng Gao , Chang-Ning Huang
IPC分类号： G06F17/00
CPC分类号： G06F17/3069 , Y10S707/99933
摘要： A method, computer readable medium and system are provided which retrieve confirming sentences from a sentence database in response to a query. A search engine retrieves confirming sentences from the sentence database in response to the query. IN retrieving the confirming sentences, the search engine defines indexing units based upon the query, with the indexing units including both lemma from the query and extended indexing units associated with the query. The search engine then retrieves a plurality of sentences from the sentence database using the defined indexing units as search parameters. A similarity between each of the plurality of retrieved sentences and the query is determined by the search engine, wherein each similarity is determined as a function of a linguistic weight of a term in the query. The search engine then ranks the plurality of retrieved sentences based upon the determined similarities.
摘要翻译：提供了一种方法，计算机可读介质和系统，其响应于查询从句子数据库中检索确认句子。搜索引擎响应于查询从句子数据库中检索确认句子。在检索确认语句中，搜索引擎基于查询来定义索引单元，索引单元包括来自查询的引理和与查询相关联的扩展索引单元。然后，搜索引擎使用定义的索引单元作为搜索参数从句子数据库中检索多个句子。由搜索引擎确定多个检索到的句子和查询中的每一个之间的相似度，其中每个相似度被确定为查询中的术语的语言权重的函数。然后，搜索引擎基于所确定的相似度对多个检索到的句子进行排序。

2. 发明申请

US20050273318A1 Method and system for retrieving confirming sentences 有权
标题翻译：检索确认句子的方法和系统
公开(公告)号：US20050273318A1
公开(公告)日：2005-12-08
申请号：US11187567
申请日：2005-07-22
申请人： Ming Zhou , Hua Wu , Yue Zhang , Jianfeng Gao , Chang-Ning Huang
发明人： Ming Zhou , Hua Wu , Yue Zhang , Jianfeng Gao , Chang-Ning Huang
IPC分类号： G06K9/18 , G06F17/28 , G06F17/30 , G06F17/40 , G06K7/00 , G06F17/21
CPC分类号： G06F17/3069 , Y10S707/99933
摘要： A method, computer readable medium and system are provided which retrieve confirming sentences from a sentence database in response to a query. A search engine retrieves confirming sentences from the sentence database in response to the query. IN retrieving the confirming sentences, the search engine defines indexing units based upon the query, with the indexing units including both lemma from the query and extended indexing units associated with the query. The search engine then retrieves a plurality of sentences from the sentence database using the defined indexing units as search parameters. A similarity between each of the plurality of retrieved sentences and the query is determined by the search engine, wherein each similarity is determined as a function of a linguistic weight of a term in the query. The search engine then ranks the plurality of retrieved sentences based upon the determined similarities.
摘要翻译：提供了一种方法，计算机可读介质和系统，其响应于查询从句子数据库中检索确认句子。搜索引擎响应于查询从句子数据库中检索确认句子。在检索确认语句中，搜索引擎基于查询来定义索引单元，索引单元包括来自查询的引理和与查询相关联的扩展索引单元。然后，搜索引擎使用定义的索引单元作为搜索参数从句子数据库中检索多个句子。由搜索引擎确定多个检索到的句子和查询中的每一个之间的相似度，其中每个相似度被确定为查询中的术语的语言权重的函数。然后，搜索引擎基于所确定的相似度对多个检索到的句子进行排序。

3. 发明授权

US07194455B2 Method and system for retrieving confirming sentences 有权
标题翻译：检索确认句子的方法和系统
公开(公告)号：US07194455B2
公开(公告)日：2007-03-20
申请号：US10247596
申请日：2002-09-19
申请人： Ming Zhou , Hua Wu , Yue Zhang , Jianfeng Gao , Chang-Ning Huang
发明人： Ming Zhou , Hua Wu , Yue Zhang , Jianfeng Gao , Chang-Ning Huang
IPC分类号： G06F17/30
CPC分类号： G06F17/3069 , Y10S707/99933
摘要： A method, computer readable medium and system are provided which retrieve confirming sentences from a sentence database in response to a query. A search engine retrieves confirming sentences from the sentence database in response to the query. IN retrieving the confirming sentences, the search engine defines indexing units based upon the query, with the indexing units including both lemma from the query and extended indexing units associated with the query. The search engine then retrieves a plurality of sentences from the sentence database using the defined indexing units as search parameters. A similarity between each of the plurality of retrieved sentences and the query is determined by the search engine, wherein each similarity is determined as a function of a linguistic weight of a term in the query. The search engine then ranks the plurality of retrieved sentences based upon the determined similarities.
摘要翻译：提供了一种方法，计算机可读介质和系统，其响应于查询从句子数据库中检索确认句子。搜索引擎响应于查询从句子数据库中检索确认句子。在检索确认语句中，搜索引擎基于查询来定义索引单元，索引单元包括来自查询的引理和与查询相关联的扩展索引单元。然后，搜索引擎使用定义的索引单元作为搜索参数从句子数据库中检索多个句子。由搜索引擎确定多个检索到的句子和查询中的每一个之间的相似度，其中每个相似度被确定为查询中的术语的语言权重的函数。然后，搜索引擎基于所确定的相似度对多个检索到的句子进行排序。

4. 发明授权

US07493251B2 Using source-channel models for word segmentation 有权
标题翻译：使用源通道模型进行分词
公开(公告)号：US07493251B2
公开(公告)日：2009-02-17
申请号：US10448644
申请日：2003-05-30
申请人： Jianfeng Gao , Mu Li , Chang-Ning Huang , Jian Sun , Lei Zhang , Ming Zhou
发明人： Jianfeng Gao , Mu Li , Chang-Ning Huang , Jian Sun , Lei Zhang , Ming Zhou
IPC分类号： G06F17/27 , G10L11/00
CPC分类号： G06F17/2755 , G06F17/277
摘要： A method and apparatus for segmenting text is provided that identifies a sequence of entity types from a sequence of characters and thereby identifies a segmentation for the sequence of characters. Under the invention, the sequence of entity types is identified using probabilistic models that describe the likelihood of a sequence of entities and the likelihood of sequences of characters given particular entities. Under one aspect of the invention, organization name entities are identified from a first sequence of identified entities to form a final sequence of identified entities.
摘要翻译：提供了用于分割文本的方法和装置，其从字符序列识别实体类型的序列，从而识别字符序列的分割。在本发明下，使用描述实体序列的可能性的概率模型和给定特定实体的字符序列的可能性来识别实体类型的序列。在本发明的一个方面，从识别的实体的第一序列识别组织名称实体，以形成所识别实体的最终序列。

5. 发明申请

US20050071148A1 Chinese word segmentation 审中-公开
标题翻译：中文分词
公开(公告)号：US20050071148A1
公开(公告)日：2005-03-31
申请号：US10662602
申请日：2003-09-15
申请人： Chang-Ning Huang , Jianfeng Gao , Mu Li , Ashley Chang
发明人： Chang-Ning Huang , Jianfeng Gao , Mu Li , Ashley Chang
IPC分类号： G06F17/20 , G06F17/27 , G06F17/28 , G10L13/06
CPC分类号： G06F17/2755 , G06F17/277 , G06F17/2863
摘要： The present invention relates to a corpus for use in training a language model. The corpus includes a plurality of characters and a plurality of morphological tags associated with a plurality of sequences of characters. The plurality of morphological tags indicate a morphological type of an associated sequence of characters and a combination of parts forming a morphological subtype.
摘要翻译：本发明涉及一种用于训练语言模型的语料库。语料库包括与多个字符序列相关联的多个字符和多个形态标签。多个形态标签表示相关联的字符序列的形态类型和形成形态亚型的部分的组合。

6. 发明授权

US07672832B2 Standardized natural language chunking utility 有权
标题翻译：标准化的自然语言分块实用程序
公开(公告)号：US07672832B2
公开(公告)日：2010-03-02
申请号：US11345615
申请日：2006-02-01
申请人： Chang-Ning Huang , Hong-Qiao Li , Jianfeng Gao
发明人： Chang-Ning Huang , Hong-Qiao Li , Jianfeng Gao
IPC分类号： G06F17/27
CPC分类号： G06F17/2775 , G06F17/278 , G06F17/2863
摘要： A method is disclosed for providing a chunking utility that supports robust natural language processing. A corpus is chunked in accordance with a draft chunking specification. Chunk inconsistencies in the corpus are automatically flagged for resolution, and a chunking utility is provided in which at least some of the flagged inconsistencies are resolved. The chunking utility provides a single, consistent global chunking standard, ensuring compatibility among various applications. The chunking utility is particularly advantageous for non-alphabetic languages, such as Chinese.
摘要翻译：公开了一种用于提供支持鲁棒自然语言处理的分块实用程序的方法。一个语料库根据一个草稿分块规范分块。语料库中的块不一致被自动标记为解决，并且提供了一个分块实用程序，其中至少一些标记的不一致性被解决。分块实用程序提供单一的，一致的全局分块标准，确保各种应用程序之间的兼容性。分组实用程序对于非字母语言（如中文）特别有利。

7. 发明申请

US20070078644A1 Detecting segmentation errors in an annotated corpus 审中-公开
标题翻译：检测注释语料库中的分段错误
公开(公告)号：US20070078644A1
公开(公告)日：2007-04-05
申请号：US11241037
申请日：2005-09-30
申请人： Chang-Ning Huang , Jianfeng Gao , Mu Li
发明人： Chang-Ning Huang , Jianfeng Gao , Mu Li
IPC分类号： G06F17/27
CPC分类号： G06F17/2863 , G06F17/277 , G06F17/278
摘要： Segmentation error candidates are detected using segmentation variations found in an annotated corpus.
摘要翻译：使用在注释语料库中发现的分段变异来检测分段错误候选。

8. 发明授权

US06904402B1 System and iterative method for lexicon, segmentation and language model joint optimization 有权
标题翻译：词法，分割和语言模型联合优化的系统迭代法
公开(公告)号：US06904402B1
公开(公告)日：2005-06-07
申请号：US09609202
申请日：2000-06-30
申请人： Hai-Feng Wang , Chang-Ning Huang , Kai-Fu Lee , Shuo Di , Jianfeng Gao , Dong-Feng Cai , Lee-Feng Chien
发明人： Hai-Feng Wang , Chang-Ning Huang , Kai-Fu Lee , Shuo Di , Jianfeng Gao , Dong-Feng Cai , Lee-Feng Chien
IPC分类号： G06F17/28 , G06F17/27 , G10L15/06 , G10L15/18 , G06F17/21 , G06F17/20 , G10L15/00
CPC分类号： G06F17/274 , G10L15/197
摘要： A method for optimizing a language model is presented comprising developing an initial language model from a lexicon and segmentation derived from a received corpus using a maximum match technique, and iteratively refining the initial language model by dynamically updating the lexicon and re-segmenting the corpus according to statistical principles until a threshold of predictive capability is achieved.
摘要翻译：提出了一种用于优化语言模型的方法，其包括使用最大匹配技术从词典和从接收到的语料库导出的分割开发初始语言模型，并且通过动态地更新词典并重新分割语料库来迭代地改进初始语言模型统计原理，直到达到预测能力的阈值。

9. 发明申请

US20070282592A1 Standardized natural language chunking utility 有权
标题翻译：标准化的自然语言分块实用程序
公开(公告)号：US20070282592A1
公开(公告)日：2007-12-06
申请号：US11345615
申请日：2006-02-01
申请人： Chang-Ning Huang , Hong-Qiao Li , Jianfeng Gao
发明人： Chang-Ning Huang , Hong-Qiao Li , Jianfeng Gao
IPC分类号： G06F17/27
CPC分类号： G06F17/2775 , G06F17/278 , G06F17/2863
摘要： A method is disclosed for providing a chunking utility that supports robust natural language processing. A corpus is chunked in accordance with a draft chunking specification. Chunk inconsistencies in the corpus are automatically flagged for resolution, and a chunking utility is provided in which at least some of the flagged inconsistencies are resolved. The chunking utility provides a single, consistent global chunking standard, ensuring compatibility among various applications. The chunking utility is particularly advantageous for non-alphabetic languages, such as Chinese.
摘要翻译：公开了一种用于提供支持鲁棒自然语言处理的分块实用程序的方法。一个语料库根据一个草稿分块规范分块。语料库中的块不一致被自动标记为解决，并且提供了一个分块实用程序，其中至少一些标记的不一致性被解决。分块实用程序提供单一的，一致的全局分块标准，确保各种应用程序之间的兼容性。分组实用程序对于非字母语言（如中文）特别有利。

10. 发明申请

US20060287848A1 Language classification with random feature clustering 审中-公开
标题翻译：语言分类与随机特征聚类
公开(公告)号：US20060287848A1
公开(公告)日：2006-12-21
申请号：US11157091
申请日：2005-06-20
申请人： Mu Li , Jianfeng Gao , Ming Zhou
发明人： Mu Li , Jianfeng Gao , Ming Zhou
IPC分类号： G06F17/27
CPC分类号： G06F16/355
摘要： An ensemble of random feature clusters is built from training data using a clustering algorithm where some randomness has been introduced. For each clustered feature space, a classifier, such as a Naïve Bayesian Classifier, is trained, realizing a classifier ensemble. The final classification decision is made by the resulting classifier ensemble.
摘要翻译：随机特征群集由训练数据构建，使用聚类算法，其中引入了一些随机性。对于每个聚类特征空间，训练一个分类器，如朴素贝叶斯分类器，实现分类器集合。最终的分类决定是由所得到的分类器集合决定的。

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