Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Open Data Platform for Knowledge Access in Plant Health Domain : VESPA
  Mining   Important data are locked in ancient literature. It would be uneconomic to
produce these data again and today or to extract them without the help of text
mining technologies. Vespa is a text mining project whose aim is to extract
data on pest and crops interactions, to model and predict attacks on crops, and
to reduce the use of pesticides. A few attempts proposed an agricultural
information access. Another originality of our work is to parse documents with
a dependency of the document architecture.

23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc