Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Normalizing Compositional Structures Across Graphbanks   The emergence of a variety of graph-based meaning representations (MRs) has
sparked an important conversation about how to adequately represent semantic
structure. These MRs exhibit structural differences that reflect different
theoretical and design considerations, presenting challenges to uniform
linguistic analysis and cross-framework semantic parsing. Here, we ask the
question of which design differences between MRs are meaningful and
semantically-rooted, and which are superficial. We present a methodology for
normalizing discrepancies between MRs at the compositional level (Lindemann et
al., 2019), finding that we can normalize the majority of divergent phenomena
using linguistically-grounded rules. Our work significantly increases the match
in compositional structure between MRs and improves multi-task learning (MTL)
in a low-resource setting, demonstrating the usefulness of careful MR design
analysis and comparison.

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The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
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The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
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The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an