Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The King is Naked: on the Notion of Robustness for Natural Language
  Processing   There is growing evidence that the classical notion of adversarial robustness
originally introduced for images has been adopted as a de facto standard by a
large part of the NLP research community. We show that this notion is
problematic in the context of NLP as it considers a narrow spectrum of
linguistic phenomena. In this paper, we argue for semantic robustness, which is
better aligned with the human concept of linguistic fidelity. We characterize
semantic robustness in terms of biases that it is expected to induce in a
model. We study semantic robustness of a range of vanilla and robustly trained
architectures using a template-based generative test bed. We complement the
analysis with empirical evidence that, despite being harder to implement,
semantic robustness can improve performance %gives guarantees for on complex
linguistic phenomena where models robust in the classical sense fail.

26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat