Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic Extraction of Subcategorization from Corpora   We describe a novel technique and implemented system for constructing a
subcategorization dictionary from textual corpora. Each dictionary entry
encodes the relative frequency of occurrence of a comprehensive set of
subcategorization classes for English. An initial experiment, on a sample of 14
verbs which exhibit multiple complementation patterns, demonstrates that the
technique achieves accuracy comparable to previous approaches, which are all
limited to a highly restricted set of subcategorization classes. We also
demonstrate that a subcategorization dictionary built with the system improves
the accuracy of a parser by an appreciable amount.

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The categories of this paper are: atom-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: stat
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The categories of this paper are: mtrl-th
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The categories of this paper are: funct-an
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The categories of this paper are: math-ph
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The categories of this paper are: hep-th
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The categories of this paper are: plasm-ph
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The categories of this paper are: q-bio
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The categories of this paper are: adap-org
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The categories of this paper are: astro-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: nlin
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The categories of this paper are: gr-qc
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The categories of this paper are: econ
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The categories of this paper are: hep-lat