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Inter-document relationship estimation model learning device, inter-document relationship estimation device, method, and program

机译:文档间关系估计模型学习设备,文档间关系估计设备,方法和程序

摘要

PROBLEM TO BE SOLVED: To realize efficient learning of an estimation model using an MLN for estimating a relationship between documents.SOLUTION: An instance division part 23 divides an utterance set of learning data into multiple subsets, and a feature amount extraction part 25 extracts an observation predicate showing a feature between utterances and a feature of each utterance, with respect to each subset. A model learning part 28 uses a weight of each logical formula in an estimation model learned to other subsets to estimate, by an MLN, a latent predicate showing the relationship between the utterances, with respect to each subset, and repeatedly learns the weight of each logical formula in the estimation model so that each relationship between the utterances shown by the estimated latent predicate coincides with a previously-given relationship between the utterances.
机译:解决的问题:使用MLN来估计文档之间的关系来实现对估计模型的高效学习。解决方案:实例划分部分23将学习数据的话语集划分为多个子集,特征量提取部分25提取观察谓词表示每个子集的发声之间的特征和每个发声的特征。模型学习部28使用学习到的对其他子集的估计模型中的每个逻辑公式的权重,通过MLN估计相对于每个子集的表示发声之间的关系的潜在谓词,并反复学习每个的权重估计模型中的逻辑公式,以使估计的潜在谓词表示的话语之间的每个关系与话语之间的先前给出的关系一致。

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