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A Relational Framework for Information Extraction
ACM SIGMOD Record, 2016Information Extraction commonly refers to the task of populating a relational schema, having predefined underlying semantics, from textual content. This task is pervasive in contemporary computational challenges associated with Big Data. In this article we provide an overview of our work on document spanners--a relational framework for Information ...
Fagin, Ronald +3 more
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Inferential Information Extraction
1999This paper is concerned with an outlook on information extraction (IE) that is steeped to a large extent in the traditional semantic notion of inferential reasoning. We make the case for a continued presence of inferential methods in IE, despite the ongoing trend towards simpler extraction processing models.
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Information Theoretic Approach to Information Extraction
2006We use the hypergeometric distribution to extract relevant information from documents. The hypergeometric distribution gives the probability estimate of observing a given term frequency with respect to a prior. The lower the probability the higher the amount of information is carried by the term.
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Supercritical fluid extraction of seed oils – A short review of current trends
Trends in Food Science and Technology, 2021Hossein Ahangari +2 more
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Techniques and modeling of polyphenol extraction from food: a review
Environmental Chemistry Letters, 2021Adithya Sridhar +2 more
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Ionic Liquids-Based Extraction: A Promising Strategy for the Advanced Nuclear Fuel Cycle
Chemical Reviews, 2012Xiaoqi Sun, Huimin Luo
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