Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards an Atlas of Cultural Commonsense for Machine Reasoning   Existing commonsense reasoning datasets for AI and NLP tasks fail to address
an important aspect of human life: cultural differences. We introduce an
approach that extends prior work on crowdsourcing commonsense knowledge by
incorporating differences in knowledge that are attributable to cultural or
national groups. We demonstrate the technique by collecting commonsense
knowledge that surrounds six fairly universal rituals -- birth, coming-of-age,
marriage, funerals, new year, and birthdays -- across two national groups: the
United States and India. Our study expands the different types of relationships
identified by existing work in the field of commonsense reasoning for
commonplace events, and uses these new types to gather information that
distinguish the identity of the groups providing the knowledge. It also moves
us a step closer towards building a machine that doesn't assume a rigid
framework of universal (and likely Western-biased) commonsense knowledge, but
rather has the ability to reason in a contextually and culturally sensitive
way. Our hope is that cultural knowledge of this sort will lead to more
human-like performance in NLP tasks such as question answering (QA) and text
understanding and generation.

28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg