公开(公告)号：US07376552B2

公开(公告)日：2008-05-20

申请号：US10639274

申请日：2003-08-12

申请人： William B. Hander ,  Ariel De La Lama ,  John W. Leslie ,  Fredrick E. Levine ,  James Tanner

发明人： William B. Hander ,  Ariel De La Lama ,  John W. Leslie ,  Fredrick E. Levine ,  James Tanner

IPC分类号： G06F17/27

CPC分类号： G06F17/2881

摘要： A method for generating text using a computer system. The method includes selecting a model for generating a text that is based on a decision tree with nodes having one buckets or elements that include a conditional element and a sentence element or a pointer to a child node. The method includes processing a set of raw data selected for the particular model and then determining values of model variables. Evaluation of the model is performed to identify a set of the sentence elements to include in the text. The evaluating includes processing the conditional element of the buckets and when the conditional element is satisfied including the bucket's sentence element in the set of identified sentence elements. The method continues with combining the identified sentence elements to generate the text. The combining is completed based on concatenation rules provided in or linked to each node.

摘要翻译： 一种使用计算机系统生成文本的方法。 该方法包括选择用于生成基于具有一个或多个节点的决策树的文本的模型或包括条件元素和句子元素或指向子节点的指针的元素。 该方法包括处理为特定模型选择的一组原始数据，然后确定模型变量的值。 执行模型的评估以识别要包括在文本中的一组句子元素。 评估包括处理桶的条件元素，以及当条件元素被满足时包括所识别的句子元素集合中的桶的句子元素。 该方法继续结合所识别的句子元素以生成文本。 组合是基于在每个节点提供或链接的连接规则完成的。