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Towards the Detection of Reliable Food-Health Relationships

机译:寻求可靠的食品与健康关系

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摘要

We investigate the task of detecting reliable statements about food-health relationships from natural language texts. For that purpose, we created a specially annotated web corpus from forum entries discussing the healthiness of certain food items. We examine a set of task-specific features (mostly) based on linguistic insights that are instrumental in finding utterances that are commonly perceived as reliable. These features are incorporated in a supervised classifier and compared against standard features that are widely used for various tasks in natural language processing, such as bag of words, part-of speech and syntactic parse information.
机译:我们调查了从自然语言文本中发现有关食品与健康关系的可靠陈述的任务。为此,我们从讨论某些食品健康性的论坛条目中创建了一个带有特殊注释的网络语料库。我们基于语言洞察力检查一组特定于任务的功能(主要是),这些洞察力有助于找到通常被认为可靠的话语。这些功能被并入有监督的分类器中,并与标准功能进行了比较,这些标准功能广泛用于自然语言处理中的各种任务,例如单词袋,词性和语法分析信息。

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