Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Span-Based Model for Joint Overlapped and Discontinuous Named Entity
  Recognition   Research on overlapped and discontinuous named entity recognition (NER) has
received increasing attention. The majority of previous work focuses on either
overlapped or discontinuous entities. In this paper, we propose a novel
span-based model that can recognize both overlapped and discontinuous entities
jointly. The model includes two major steps. First, entity fragments are
recognized by traversing over all possible text spans, thus, overlapped
entities can be recognized. Second, we perform relation classification to judge
whether a given pair of entity fragments to be overlapping or succession. In
this way, we can recognize not only discontinuous entities, and meanwhile
doubly check the overlapped entities. As a whole, our model can be regarded as
a relation extraction paradigm essentially. Experimental results on multiple
benchmark datasets (i.e., CLEF, GENIA and ACE05) show that our model is highly
competitive for overlapped and discontinuous NER.

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The categories of this paper are: patt-sol
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The categories of this paper are: plasm-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: chao-dyn
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The categories of this paper are: quant-ph
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The categories of this paper are: math-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: eess
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The categories of this paper are: stat
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The categories of this paper are: astro-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
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The categories of this paper are: cond-mat
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The categories of this paper are: comp-gas
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The categories of this paper are: funct-an