Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in
  Conversational AI   We present the first English corpus study on abusive language towards three
conversational AI systems gathered "in the wild": an open-domain social bot, a
rule-based chatbot, and a task-based system. To account for the complexity of
the task, we take a more `nuanced' approach where our ConvAI dataset reflects
fine-grained notions of abuse, as well as views from multiple expert
annotators. We find that the distribution of abuse is vastly different compared
to other commonly used datasets, with more sexually tinted aggression towards
the virtual persona of these systems. Finally, we report results from
bench-marking existing models against this data. Unsurprisingly, we find that
there is substantial room for improvement with F1 scores below 90%.

15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th