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Systems and methods for language feature generation over multi-layered word representation

机译:用于在多层单词表示上生成语言特征的系统和方法

摘要

There is provided a computer-implemented method for outputting one or more cross-layer patterns to identify a target semantic phenomenon in text, the method comprising: extracting, for each word of at least some words of each training text fragment of training text fragments designated as representing a target semantic phenomenon, feature-values defined by respective layers; statistically analyzing the feature-values identified for the training text fragments to identify one or more cross-layer patterns comprising layers representing a common pattern for the training text fragments, the common cross-layer pattern defining one or more feature-values of a respective layer of one or more words and at least another feature-value of another respective layer of another word; and outputting the identified cross-layer pattern(s) for identifying a text fragment representing the target semantic phenomenon.
机译:提供了一种计算机实现的方法,用于输出一个或多个跨层模式以识别文本中的目标语义现象,该方法包括:针对每个单词,提取指定的训练文本片段的每个训练文本片段的至少一些单词中的每个单词。代表目标语义现象时,各层定义的特征值;统计地分析为训练文本片段标识的特征值,以识别一个或多个跨层图案,该跨层图案包括表示训练文本片段的公共图案的层,该公共跨层图案定义相应层的一个或多个特征值一个或多个单词以及另一个单词的另一个相应层的至少另一个特征值;输出识别出的用于识别代表目标语义现象的文本片段的跨层图案。

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