Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Integrating Multiple Knowledge Sources for Robust Semantic Parsing   This work explores a new robust approach for Semantic Parsing of unrestricted
texts. Our approach considers Semantic Parsing as a Consistent Labelling
Problem (CLP), allowing the integration of several knowledge types (syntactic
and semantic) obtained from different sources (linguistic and statistic). The
current implementation obtains 95% accuracy in model identification and 72% in
case-role filling.

23
The categories of this paper are: solv-int
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys