Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improving Vietnamese Named Entity Recognition from Speech Using Word
  Capitalization and Punctuation Recovery Models   Studies on the Named Entity Recognition (NER) task have shown outstanding
results that reach human parity on input texts with correct text formattings,
such as with proper punctuation and capitalization. However, such conditions
are not available in applications where the input is speech, because the text
is generated from a speech recognition system (ASR), and that the system does
not consider the text formatting. In this paper, we (1) presented the first
Vietnamese speech dataset for NER task, and (2) the first pre-trained public
large-scale monolingual language model for Vietnamese that achieved the new
state-of-the-art for the Vietnamese NER task by 1.3% absolute F1 score
comparing to the latest study. And finally, (3) we proposed a new pipeline for
NER task from speech that overcomes the text formatting problem by introducing
a text capitalization and punctuation recovery model (CaPu) into the pipeline.
The model takes input text from an ASR system and performs two tasks at the
same time, producing proper text formatting that helps to improve NER
performance. Experimental results indicated that the CaPu model helps to
improve by nearly 4% of F1-score.

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The categories of this paper are: gr-qc
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The categories of this paper are: math
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The categories of this paper are: q-alg
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The categories of this paper are: math-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ex
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The categories of this paper are: acc-phys
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-th
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The categories of this paper are: adap-org
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The categories of this paper are: chao-dyn
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The categories of this paper are: alg-geom
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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: astro-ph
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The categories of this paper are: solv-int