Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatically Selecting Useful Phrases for Dialogue Act Tagging   We present an empirical investigation of various ways to automatically
identify phrases in a tagged corpus that are useful for dialogue act tagging.
We found that a new method (which measures a phrase's deviation from an
optimally-predictive phrase), enhanced with a lexical filtering mechanism,
produces significantly better cues than manually-selected cue phrases, the
exhaustive set of phrases in a training corpus, and phrases chosen by
traditional metrics, like mutual information and information gain.

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The categories of this paper are: plasm-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: nucl-ex
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The categories of this paper are: acc-phys
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The categories of this paper are: funct-an
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The categories of this paper are: hep-lat
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The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
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The categories of this paper are: cond-mat
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The categories of this paper are: q-bio
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The categories of this paper are: nucl-th
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The categories of this paper are: cmp-lg
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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: patt-sol
3
The categories of this paper are: physics