Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse
  Segmentation, Classification, and Connective Detection   This paper describes our submission to the DISRPT2021 Shared Task on
Discourse Unit Segmentation, Connective Detection, and Relation Classification.
Our system, called DisCoDisCo, is a Transformer-based neural classifier which
enhances contextualized word embeddings (CWEs) with hand-crafted features,
relying on tokenwise sequence tagging for discourse segmentation and connective
detection, and a feature-rich, encoder-less sentence pair classifier for
relation classification. Our results for the first two tasks outperform SOTA
scores from the previous 2019 shared task, and results on relation
classification suggest strong performance on the new 2021 benchmark. Ablation
tests show that including features beyond CWEs are helpful for both tasks, and
a partial evaluation of multiple pre-trained Transformer-based language models
indicates that models pre-trained on the Next Sentence Prediction (NSP) task
are optimal for relation classification.

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The categories of this paper are: nucl-ex
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The categories of this paper are: funct-an
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The categories of this paper are: chao-dyn
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The categories of this paper are: plasm-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-th
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The categories of this paper are: hep-lat
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The categories of this paper are: nlin
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The categories of this paper are: stat
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The categories of this paper are: physics
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The categories of this paper are: hep-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: q-bio
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The categories of this paper are: alg-geom