Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Active Learning for Mention Detection: A Comparison of Sentence
  Selection Strategies   We propose and compare various sentence selection strategies for active
learning for the task of detecting mentions of entities. The best strategy
employs the sum of confidences of two statistical classifiers trained on
different views of the data. Our experimental results show that, compared to
the random selection strategy, this strategy reduces the amount of required
labeled training data by over 50% while achieving the same performance. The
effect is even more significant when only named mentions are considered: the
system achieves the same performance by using only 42% of the training data
required by the random selection strategy.

20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg