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In this paper, we present Concept Chain Queries (CCQ), a special case of text mining in document collections focusing on detecting links between two topics across text documents. We interpret such a query as finding the most meaningful evidence trails across documents that connect these two topics. We propose to use link-analysis techniques over the extracted features provided by Information Extraction...
Set expansion refers to expanding a given partial set of objects into a more complete set. A well-known example system that does set expansion using the web is Google Sets. In this paper, we propose a novel method for expanding sets of named entities. The approach can be applied to semi-structured documents written in any markup language and in any human language. We present experimental results on...
Natural Language Processing has emerged as an active field of research in the machine learning community. Several methods based on statistical information have been proposed. However, with the linguistic complexity of the texts, semantic-based approaches have been investigated. In this paper, we propose a Semantic Kernel for semi- structured biomedical documents. The semantic meanings of words are...
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