Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Language Invariant Properties in Natural Language Processing   Meaning is context-dependent, but many properties of language (should) remain
the same even if we transform the context. For example, sentiment, entailment,
or speaker properties should be the same in a translation and original of a
text. We introduce language invariant properties: i.e., properties that should
not change when we transform text, and how they can be used to quantitatively
evaluate the robustness of transformation algorithms. We use translation and
paraphrasing as transformation examples, but our findings apply more broadly to
any transformation. Our results indicate that many NLP transformations change
properties like author characteristics, i.e., make them sound more male. We
believe that studying these properties will allow NLP to address both social
factors and pragmatic aspects of language. We also release an application suite
that can be used to evaluate the invariance of transformation applications.

9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ