Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning Cross-lingual Distributed Logical Representations for Semantic
  Parsing   With the development of several multilingual datasets used for semantic
parsing, recent research efforts have looked into the problem of learning
semantic parsers in a multilingual setup. However, how to improve the
performance of a monolingual semantic parser for a specific language by
leveraging data annotated in different languages remains a research question
that is under-explored. In this work, we present a study to show how learning
distributed representations of the logical forms from data annotated in
different languages can be used for improving the performance of a monolingual
semantic parser. We extend two existing monolingual semantic parsers to
incorporate such cross-lingual distributed logical representations as features.
Experiments show that our proposed approach is able to yield improved semantic
parsing results on the standard multilingual GeoQuery dataset.

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The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int