Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: TGIF: Tree-Graph Integrated-Format Parser for Enhanced UD with Two-Stage
  Generic- to Individual-Language Finetuning   We present our contribution to the IWPT 2021 shared task on parsing into
enhanced Universal Dependencies. Our main system component is a hybrid
tree-graph parser that integrates (a) predictions of spanning trees for the
enhanced graphs with (b) additional graph edges not present in the spanning
trees. We also adopt a finetuning strategy where we first train a
language-generic parser on the concatenation of data from all available
languages, and then, in a second step, finetune on each individual language
separately. Additionally, we develop our own complete set of pre-processing
modules relevant to the shared task, including tokenization, sentence
segmentation, and multiword token expansion, based on pre-trained XLM-R models
and our own pre-training of character-level language models. Our submission
reaches a macro-average ELAS of 89.24 on the test set. It ranks top among all
teams, with a margin of more than 2 absolute ELAS over the next best-performing
submission, and best score on 16 out of 17 languages.

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The categories of this paper are: nucl-ex
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The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
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The categories of this paper are: patt-sol
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The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-th
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The categories of this paper are: gr-qc
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The categories of this paper are: stat
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-alg
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: cmp-lg
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The categories of this paper are: acc-phys