Name
Abstract | ||
|---|---|---|
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.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-21348-0_11 | european semantic web conference |
Field | DocType | Volume |
Information retrieval,Computer science,Testbed,Temporal expressions,Salience (language),Semantics | Conference | 11503 |
ISSN | ISBN | Citations |
0302-9743 | 978-1-4503-5178-2 | 0 |
PageRank | References | Authors |
0.34 | 24 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dhruv Gupta | 1 | 17 | 4.68 |
| Klaus Berberich | 2 | 1271 | 68.96 |
| Jannik Strötgen | 3 | 492 | 38.20 |
| Demetrios Zeinalipour-Yazti | 4 | 693 | 57.60 |