Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unified Multi-Criteria Chinese Word Segmentation with BERT   Multi-Criteria Chinese Word Segmentation (MCCWS) aims at finding word
boundaries in a Chinese sentence composed of continuous characters while
multiple segmentation criteria exist. The unified framework has been widely
used in MCCWS and shows its effectiveness. Besides, the pre-trained BERT
language model has been also introduced into the MCCWS task in a multi-task
learning framework. In this paper, we combine the superiority of the unified
framework and pretrained language model, and propose a unified MCCWS model
based on BERT. Moreover, we augment the unified BERT-based MCCWS model with the
bigram features and an auxiliary criterion classification task. Experiments on
eight datasets with diverse criteria demonstrate that our methods could achieve
new state-of-the-art results for MCCWS.

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The categories of this paper are: ao-sci
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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
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The categories of this paper are: mtrl-th
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The categories of this paper are: astro-ph
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The categories of this paper are: eess
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The categories of this paper are: nucl-ex
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The categories of this paper are: math
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The categories of this paper are: dg-ga
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-lat
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The categories of this paper are: solv-int
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The categories of this paper are: alg-geom
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The categories of this paper are: plasm-ph
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The categories of this paper are: comp-gas