Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
  in 52 Languages   The CoNLL-SIGMORPHON 2017 shared task on supervised morphological generation
required systems to be trained and tested in each of 52 typologically diverse
languages. In sub-task 1, submitted systems were asked to predict a specific
inflected form of a given lemma. In sub-task 2, systems were given a lemma and
some of its specific inflected forms, and asked to complete the inflectional
paradigm by predicting all of the remaining inflected forms. Both sub-tasks
included high, medium, and low-resource conditions. Sub-task 1 received 24
system submissions, while sub-task 2 received 3 system submissions. Following
the success of neural sequence-to-sequence models in the SIGMORPHON 2016 shared
task, all but one of the submissions included a neural component. The results
show that high performance can be achieved with small training datasets, so
long as models have appropriate inductive bias or make use of additional
unlabeled data or synthetic data. However, different biasing and data
augmentation resulted in disjoint sets of inflected forms being predicted
correctly, suggesting that there is room for future improvement.

25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn