Name
Abstract | ||
|---|---|---|
Dynamic content is a frequently accessed part of the Web. However, most information extraction approaches are batch-oriented, thus not effective for gathering rapidly changing data. This paper proposes a model for fact extraction in real-time. Our model addresses the difficult challenges that timely fact extraction on frequently updated data entails. We point out a naive solution to the main research question and justify the choices we make in the model we propose.
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Year | Venue | Keywords |
|---|---|---|
2012 | AKBC-WEKEX@NAACL-HLT | real-time population,knowledge base,difficult challenge,updated data,accessed part,dynamic content,timely fact extraction,fact extraction,information extraction approach,naive solution,main research question |
Field | DocType | ISBN |
Data science,Population,Research question,Computer science,Information extraction,Dynamic web page,Fact extraction | Conference | 978-1-4503-2411-3 |
Citations | PageRank | References |
5 | 0.45 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ndapandula Nakashole | 1 | 394 | 19.48 |
| Gerhard Weikum | 2 | 12710 | 2146.01 |