Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Polyphone Disambiguition in Mandarin Chinese with Semi-Supervised
  Learning   The majority of Chinese characters are monophonic, while a special group of
characters, called polyphonic characters, have multiple pronunciations. As a
prerequisite of performing speech-related generative tasks, the correct
pronunciation must be identified among several candidates. This process is
called Polyphone Disambiguation. Although the problem has been well explored
with both knowledge-based and learning-based approaches, it remains challenging
due to the lack of publicly available labeled datasets and the irregular nature
of polyphone in Mandarin Chinese. In this paper, we propose a novel
semi-supervised learning (SSL) framework for Mandarin Chinese polyphone
disambiguation that can potentially leverage unlimited unlabeled text data. We
explore the effect of various proxy labeling strategies including
entropy-thresholding and lexicon-based labeling. Qualitative and quantitative
experiments demonstrate that our method achieves state-of-the-art performance.
In addition, we publish a novel dataset specifically for the polyphone
disambiguation task to promote further researches.

20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
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The categories of this paper are: econ
11
The categories of this paper are: hep-lat
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
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The categories of this paper are: eess
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
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The categories of this paper are: hep-th
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The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th