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Implementing a domain adaptive semantic role labeler

机译:实现域自适应语义角色贴标程序

摘要

A computer-implemented method according to one embodiment includes identifying features of a plurality of data instances within a target domain; assigning weights to the plurality of data instances within the target domain, based on similarities among the features; selecting a subset of the plurality of data instances within the target domain, based on the weights; associating expert annotations with respective ones of data instances within the subset; and training a machine learning algorithm, utilizing the subset of the plurality of data instances and associated expert annotations.
机译:根据一个实施例的计算机实现的方法包括识别目标域内的多个数据实例的特征; 基于特征之间的相似性为目标域中的多个数据实例分配权重; 基于权重选择目标域内的多个数据实例的子集; 将专家注释与子集内部的各个数据实例相关联; 并训练机器学习算法,利用多个数据实例的子集和相关的专家注释。

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