Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context
Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context
复制标题
预测有或没有周围上下文的单个句子的相对难度
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Kevyn Collins
中科院分区：
文献类型：
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作者：
Elliot Schumacher;M. Eskénazi;G. Frishkoff;Kevyn Collins
准确预测一组句子的相对阅读难度的问题出现在许多重要的自然语言应用中，例如为智能语言辅导系统寻找和策划有效的使用示例。然而，虽然有重要的研究探索了文档和段落水平的阅读难度，但评估单句可读性方面的特殊挑战却很少受到关注，特别是在考虑周围段落的作用时。我们介绍并评估了一种新的方法来估计一组句子的相对阅读难度，有和没有周围的语境。使用不同的词汇和语法特征集，我们探索了使用逻辑回归预测两两相对难度的模型，并使用贝叶斯评级系统检查通过聚合两两难度标签生成的排名，以形成最终排名。我们还比较了有语境和没有语境的句子排名，发现语境特征可以帮助预测这两种情况下相对难度判断的差异。
The problem of accurately predicting relative reading difficulty across a set of sentences arises in a number of important natural language applications, such as finding and curating effective usage examples for intelligent language tutoring systems. Yet while significant research has explored document- and passage-level reading difficulty, the special challenges involved in assessing aspects of readability for single sentences have received much less attention, particularly when considering the role of surrounding passages. We introduce and evaluate a novel approach for estimating the relative reading difficulty of a set of sentences, with and without surrounding context. Using different sets of lexical and grammatical features, we explore models for predicting pairwise relative difficulty using logistic regression, and examine rankings generated by aggregating pairwise difficulty labels using a Bayesian rating system to form a final ranking. We also compare rankings derived for sentences assessed with and without context, and find that contextual features can help predict differences in relative difficulty judgments across these two conditions.
DOI：
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发表时间：
2008
期刊：
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影响因子：
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作者：
B. Stemmer;H. Whitaker
通讯作者：
B. Stemmer;H. Whitaker