Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Extracting Event-Centric Document Collections from Large-Scale Web
  Archives   Web archives are typically very broad in scope and extremely large in scale.
This makes data analysis appear daunting, especially for non-computer
scientists. These collections constitute an increasingly important source for
researchers in the social sciences, the historical sciences and journalists
interested in studying past events. However, there are currently no access
methods that help users to efficiently access information, in particular about
specific events, beyond the retrieval of individual disconnected documents.
Therefore we propose a novel method to extract event-centric document
collections from large scale Web archives. This method relies on a specialized
focused extraction algorithm. Our experiments on the German Web archive
(covering a time period of 19 years) demonstrate that our method enables the
extraction of event-centric collections for different event types.

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The categories of this paper are: chem-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: q-alg
2
The categories of this paper are: math
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-bio
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The categories of this paper are: bayes-an
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The categories of this paper are: q-fin
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The categories of this paper are: quant-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: solv-int
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The categories of this paper are: cmp-lg
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The categories of this paper are: nucl-th
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The categories of this paper are: cond-mat
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-ph