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Text documents often embed data that is structured in nature. This structured data is increasingly exposed using information extraction systems , which generate structured relations from documents, introducing an opportunity to process expressive, structured queries over text databases. This...
Over the past few years, we have been trying to build an end-to-end system at Wisconsin to manage unstructured data, using extraction, integration, and user interaction. This paper describes the key information extraction (IE) challenges that we have run into, and sketches our solutions. We...
As applications within and outside the enterprise encounter increasing volumes of unstructured data, there has been renewed interest in the area of information extraction (IE) -- the discipline concerned with extracting structured information from unstructured text. Classical IE techniques...
In this paper we introduce the webpage understanding problem which consists of three subtasks: webpage segmentation, webpage structure labeling, and webpage text segmentation and labeling. The problem is motivated by the search applications we have been working on including Microsoft Academic...
Domain adaptation refers to the process of adapting an extraction model trained in one domain to another related domain with only unlabeled data. We present a brief survey of existing methods of retraining models to best exploit labeled data from a related domain. These approaches that involve...
The First International Workshop on Transforming and Weaving Ontologies in Model Driven Engineering (TWOMDE 2008), affiliated with the 11th International Conference on Model Driven Engineering Languages and Systems (MoD-ELS2008), brought together researchers and practitioners from the modeling...
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