Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Entity Extraction with Knowledge from Web Scale Corpora   Entity extraction is an important task in text mining and natural language
processing. A popular method for entity extraction is by comparing substrings
from free text against a dictionary of entities. In this paper, we present
several techniques as a post-processing step for improving the effectiveness of
the existing entity extraction technique. These techniques utilise models
trained with the web-scale corpora which makes our techniques robust and
versatile. Experiments show that our techniques bring a notable improvement on
efficiency and effectiveness.

8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg