Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Error-Driven Pruning of Treebank Grammars for Base Noun Phrase
  Identification   Finding simple, non-recursive, base noun phrases is an important subtask for
many natural language processing applications. While previous empirical methods
for base NP identification have been rather complex, this paper instead
proposes a very simple algorithm that is tailored to the relative simplicity of
the task. In particular, we present a corpus-based approach for finding base
NPs by matching part-of-speech tag sequences. The training phase of the
algorithm is based on two successful techniques: first the base NP grammar is
read from a ``treebank'' corpus; then the grammar is improved by selecting
rules with high ``benefit'' scores. Using this simple algorithm with a naive
heuristic for matching rules, we achieve surprising accuracy in an evaluation
on the Penn Treebank Wall Street Journal.

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The categories of this paper are: atom-ph
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The categories of this paper are: q-bio
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The categories of this paper are: acc-phys
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The categories of this paper are: cond-mat
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The categories of this paper are: nlin
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The categories of this paper are: quant-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: hep-ph
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The categories of this paper are: funct-an
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The categories of this paper are: mtrl-th
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The categories of this paper are: supr-con
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The categories of this paper are: hep-ex
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The categories of this paper are: solv-int
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The categories of this paper are: nucl-th
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The categories of this paper are: chao-dyn
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The categories of this paper are: nucl-ex