公开(公告)号：WO2016141187A1

公开(公告)日：2016-09-09

申请号：PCT/US2016/020695

申请日：2016-03-03

Applicant: THE ALLEN INSTITUTE FOR ARTIFICIAL INTELLIGENCE

Inventor： HOPKINS, Mark, Andrew ,  SCHAAKE, Mark, Edwin ,  SKJONSBERG, Samuel, Stuart

IPC: G06F17/27

CPC classification number: G06F17/30719 ,  G06F17/271 ,  G06F17/2715 ,  G06F17/2725 ,  G06F17/30716

Abstract: Systems, apparatuses, and methods for generating a parser training set and ultimately a correct treebank for a corpus of text, based on using an existing parser that was trained on a different corpus. Also disclosed are systems, apparatuses, and methods for improving the operation of a parser in the case of using a less familiar set of training data than is typically used to train conventional parsers. This can be used to generate a more effective and accurate parser for a new corpus (and hence more accurate parse trees) with significantly less effort than would be required if it was necessary to generate a standard size training set.

Abstract translation: 基于使用在不同语料库上训练的现有解析器，用于生成解析器训练集并最终为文本语料库的正确树形库的系统，装置和方法。 还公开了用于在使用比通常用于训练常规解析器的训练数据不太熟悉的情况下改进解析器的操作的系统，装置和方法。 这可以用于为新语料库（因此更准确的解析树）生成一个更有效和更准确的解析器，如果需要生成标准大小的训练集，则显着减少了所需的努力。