Fact Discovery in Wikipedia. Adafre, S., F., Jijkoun, V., & De Rijke, M. In IEEEWICACM International Conference on Web Intelligence WI07, pages 177-183, 2007. Ieee. Paper Website abstract bibtex We address the task of extracting focused salient information items, relevant and important for a given topic, from a large encyclopedic resource. Specifically, for a given topic (a Wikipedia article) we identify snippets from other articles in Wikipedia that contain important information for the topic of the original article, without duplicates. We compare several methods for addressing the task, and find that a mixture of content-based, link-based, and layout-based features outperforms other methods, especially in combination with the use of so-called reference corpora that capture the key properties of entities of a common type.
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title = {Fact Discovery in Wikipedia},
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abstract = {We address the task of extracting focused salient information items, relevant and important for a given topic, from a large encyclopedic resource. Specifically, for a given topic (a Wikipedia article) we identify snippets from other articles in Wikipedia that contain important information for the topic of the original article, without duplicates. We compare several methods for addressing the task, and find that a mixture of content-based, link-based, and layout-based features outperforms other methods, especially in combination with the use of so-called reference corpora that capture the key properties of entities of a common type.},
bibtype = {inProceedings},
author = {Adafre, Sisay Fissaha and Jijkoun, Valentin and De Rijke, Maarten},
booktitle = {IEEEWICACM International Conference on Web Intelligence WI07}
}
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