Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree
  Structures Inside Arguments   Semantic role labeling is a fundamental yet challenging task in the NLP
community. Recent works of SRL mainly fall into two lines:1) BIO-based and 2)
span-based. Despite effectiveness, they share some intrinsic drawbacks of not
explicitly considering internal argument structures, which may potentially
hinder the model's expressiveness. To remedy this, we propose to reduce SRL to
a dependency parsing task and regard the flat argument spans as latent
subtrees. In particular, we equip our formulation with a novel span-constrained
TreeCRF model to make tree structures span-aware, and further extend it to the
second-order case. Experiments on CoNLL05 and CoNLL12 benchmarks reveal that
the results of our methods outperform all previous works and achieve the
state-of-the-art.

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The categories of this paper are: hep-ex
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The categories of this paper are: mtrl-th
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The categories of this paper are: nlin
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The categories of this paper are: alg-geom
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The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
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The categories of this paper are: funct-an
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The categories of this paper are: eess
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The categories of this paper are: bayes-an
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The categories of this paper are: econ
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The categories of this paper are: cmp-lg
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The categories of this paper are: atom-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: math
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The categories of this paper are: quant-ph
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The categories of this paper are: hep-ph