Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting Online Hate Speech Using Context Aware Models   In the wake of a polarizing election, the cyber world is laden with hate
speech. Context accompanying a hate speech text is useful for identifying hate
speech, which however has been largely overlooked in existing datasets and hate
speech detection models. In this paper, we provide an annotated corpus of hate
speech with context information well kept. Then we propose two types of hate
speech detection models that incorporate context information, a logistic
regression model with context features and a neural network model with learning
components for context. Our evaluation shows that both models outperform a
strong baseline by around 3% to 4% in F1 score and combining these two models
further improve the performance by another 7% in F1 score.

7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an