Learning Document-Level Semantic Properties from Free-Text Annotations
نویسندگان
چکیده
منابع مشابه
Learning Document-Level Semantic Properties from Free-text Annotations
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often annotated by their authors with free-text keyphrases, such as “a real bargain” or “good value.” We leverage these unstructured annotations by clustering them into semantic properties, and then tying the induced clusters to...
متن کاملLearning Document-Level Semantic Properties from Free-Text Annotations
This paper demonstrates a new method for leveraging free-text annotations to infer semantic properties of documents. Free-text annotations are becoming increasingly abundant, due to the recent dramatic growth in semistructured, user-generated online content. An example of such content is product reviews, which are often annotated by their authors with pros/cons keyphrases such as “a real bargai...
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The World-Wide-Web and information system has gained significant achievements over the last two decades as expressed their dominance in various business and scientific applications. As estimated by Blumberg and Atre more than 85% of all business information exists in the form of unstructured and semi-structured document, typically formatted for human viewing, not for system processing. Extracti...
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The advantages of Semantic annotations are extensive: They allow more detailed queries than conventional search engines, precise question-answering instead of returning more or less relevant resources, and rule-based reasoning. Briefly: They can save work. But the creation of semantic metadata requires additional effort that decreases the overall benefit of semantic technologies. The advantage ...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2009
ISSN: 1076-9757
DOI: 10.1613/jair.2633