公开(公告)号：US07742911B2

公开(公告)日：2010-06-22

申请号：US11095299

申请日：2005-03-31

申请人： Ananlada Chotimongkol ,  Dilek Z. Hakkani-Tur ,  Gokhan Tur

发明人： Ananlada Chotimongkol ,  Dilek Z. Hakkani-Tur ,  Gokhan Tur

IPC分类号： G06F17/28

CPC分类号： G06F17/278 ,  G06F17/2785 ,  G10L15/1822 ,  G10L15/22

摘要： An apparatus and a method are provided for using semantic role labeling for spoken language understanding. A received utterance semantically parsed by semantic role labeling. A predicate or at least one argument is extracted from the semantically parsed utterance. An intent is estimated based on the predicate or the at least one argument. In another aspect, a method is provided for training a spoken language dialog system that uses semantic role labeling. An expert is provided with a group of predicate/argument pairs. Ones of the predicate/argument pairs are selected as intents. Ones of the arguments are selected as named entities. Mappings from the arguments to frame slots are designed.

摘要翻译： 提供了一种使用语义角色标识来进行语言理解的装置和方法。 被语义角色标注语义解析的语音接收语句。 从语义解析的话语中提取谓词或至少一个参数。 根据谓词或至少一个参数估计意图。 另一方面，提供了一种用于训练使用语义角色标注的口语对话系统的方法。 专家提供了一组谓词/参数对。 谓词/参数对的一部分被选为意图。 参数的一部分被选为命名实体。 从框架插槽的参数映射被设计。

公开(公告)号：US08321220B1

公开(公告)日：2012-11-27

申请号：US11290859

申请日：2005-11-30

申请人： Ananlada Chotimongkol ,  Dilek Z. Hakkani-Tur ,  Gokhan Tur

发明人： Ananlada Chotimongkol ,  Dilek Z. Hakkani-Tur ,  Gokhan Tur

IPC分类号： G10L15/00

CPC分类号： G10L15/063 ,  G09B19/04

摘要： A system and method are disclosed for providing semi-supervised learning for a spoken language understanding module using semantic role labeling. The method embodiment relates to a method of generating a spoken language understanding module. Steps in the method comprise selecting at least one predicate/argument pair as an intent from a set of the most frequent predicate/argument pairs for a domain, labeling training data using mapping rules associated with the selected at least one predicate/argument pair, training a call-type classification model using the labeled training data, re-labeling the training data using the call-type classification model and iteratively several of the above steps until training set labels converge.

摘要翻译： 公开了一种用于为使用语义角色标记的口语理解模块提供半监督学习的系统和方法。 该方法实施例涉及一种产生口头语言理解模块的方法。 该方法中的步骤包括从一个域的最频繁谓词/参数对集合中选择至少一个谓词/参数对作为意图，使用与所选择的至少一个谓词/参数对相关联的映射规则来标记训练数据，训练 使用标记的训练数据的呼叫类型分类模型，使用呼叫类型分类模型重新标记训练数据，并且迭代地执行上述几个步骤，直到训练集标签收敛。

公开(公告)号：US08700404B1

公开(公告)日：2014-04-15

申请号：US11212266

申请日：2005-08-27

申请人： Ananlada Chotimongkol ,  Dilek Z. Hakkani-Tur ,  Gokhan Tur

发明人： Ananlada Chotimongkol ,  Dilek Z. Hakkani-Tur ,  Gokhan Tur

IPC分类号： G10L15/18 ,  G10L15/06 ,  G10L15/28 ,  G10L15/00

CPC分类号： G10L15/1815 ,  G10L15/00 ,  G10L15/06 ,  G10L15/07 ,  G10L15/10 ,  G10L15/18 ,  G10L15/197 ,  G10L15/28

摘要： Disclosed herein is a system, method and computer readable medium storing instructions related to semantic and syntactic information in a language understanding system. The method embodiment of the invention is a method for classifying utterances during a natural language dialog between a human and a computing device. The method comprises receiving a user utterance; generating a semantic and syntactic graph associated with the received utterance, extracting all n-grams as features from the generated semantic and syntactic graph and classifying the utterance. Classifying the utterance may be performed any number of ways such as using the extracted n-grams, a syntactic and semantic graphs or writing rules.

摘要翻译： 本文公开了一种在语言理解系统中存储与语义和句法信息相关的指令的系统，方法和计算机可读介质。 本发明的方法实施例是一种在人与计算设备之间的自然语言对话中对话语进行分类的方法。 该方法包括接收用户话语; 生成与接收到的话语相关联的语义和句法图，从生成的语义和句法图中提取所有n-gram作为特征，并对话语进行分类。 可以通过使用提取的n-gram，语法和语义图形或书写规则等任何方式来执行对话语的分类。

公开(公告)号：US20060080101A1

公开(公告)日：2006-04-13

申请号：US11095299

申请日：2005-03-31

申请人： Ananlada Chotimongkol ,  Dilek Hakkani-Tur ,  Gokhan Tur

发明人： Ananlada Chotimongkol ,  Dilek Hakkani-Tur ,  Gokhan Tur

IPC分类号： G10L15/18

CPC分类号： G06F17/278 ,  G06F17/2785 ,  G10L15/1822 ,  G10L15/22

摘要： An apparatus and a method are provided for using semantic role labeling for spoken language understanding. A received utterance semantically parsed by semantic role labeling. A predicate or at least one argument is extracted from the semantically parsed utterance. An intent is estimated based on the predicate or the at least one argument. In another aspect, a method is provided for training a spoken language dialog system that uses semantic role labeling. An expert is provided with a group of predicate/argument pairs. Ones of the predicate/argument pairs are selected as intents. Ones of the arguments are selected as named entities. Mappings from the arguments to frame slots are designed.

摘要翻译： 提供了一种使用语义角色标识来进行语言理解的装置和方法。 被语义角色标注语义解析的语音接收语句。 从语义解析的话语中提取谓词或至少一个参数。 根据谓词或至少一个参数估计意图。 另一方面，提供了一种用于训练使用语义角色标注的口语对话系统的方法。 专家提供了一组谓词/参数对。 谓词/参数对的一部分被选为意图。 参数的一部分被选为命名实体。 从框架插槽的参数映射被设计。