Generating Semantic Aspects for Queries
Date
2018ISBN
978-1-4503-5178-2Publisher
Association for Computing MachineryPlace of publication
Fort Worth, Texas, USASource
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital LibrariesGoogle Scholar check
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We present an approach to explore news archives by automatically generating semantic aspects for their navigation. Given a keyword query as an input, we utilize semantic annotations present in the pseudo-relevant set of documents for generating the aspects. Our approach to generate the aspects considers the salience of the annotations by modeling their semantics as well as considering their co-occurrence in the pseudo-relevant set of documents. The generated aspects are also beneficial for representing documents in a structured manner. We show preliminary results on two news archives demonstrating the quality of the generated aspects over a testbed of more than 5,000 aspects derived from Wikipedia.