Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Extracting N-ary Cross-sentence Relations using Constrained Subsequence
  Kernel   Most of the past work in relation extraction deals with relations occurring
within a sentence and having only two entity arguments. We propose a new
formulation of the relation extraction task where the relations are more
general than intra-sentence relations in the sense that they may span multiple
sentences and may have more than two arguments. Moreover, the relations are
more specific than corpus-level relations in the sense that their scope is
limited only within a document and not valid globally throughout the corpus. We
propose a novel sequence representation to characterize instances of such
relations. We then explore various classifiers whose features are derived from
this sequence representation. For SVM classifier, we design a Constrained
Subsequence Kernel which is a variant of Generalized Subsequence Kernel. We
evaluate our approach on three datasets across two domains: biomedical and
general domain.

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The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
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The categories of this paper are: stat
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The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
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The categories of this paper are: quant-ph
2
The categories of this paper are: math
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The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio