Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Injecting Word Information with Multi-Level Word Adapter for Chinese
  Spoken Language Understanding   In this paper, we improve Chinese spoken language understanding (SLU) by
injecting word information. Previous studies on Chinese SLU do not consider the
word information, failing to detect word boundaries that are beneficial for
intent detection and slot filling. To address this issue, we propose a
multi-level word adapter to inject word information for Chinese SLU, which
consists of (1) sentence-level word adapter, which directly fuses the sentence
representations of the word information and character information to perform
intent detection and (2) character-level word adapter, which is applied at each
character for selectively controlling weights on word information as well as
character information. Experimental results on two Chinese SLU datasets show
that our model can capture useful word information and achieve state-of-the-art
performance.

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The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
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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: chao-dyn
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The categories of this paper are: patt-sol
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The categories of this paper are: gr-qc
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The categories of this paper are: funct-an
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The categories of this paper are: atom-ph
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The categories of this paper are: physics
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The categories of this paper are: supr-con
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The categories of this paper are: q-alg
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The categories of this paper are: bayes-an
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The categories of this paper are: acc-phys
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The categories of this paper are: comp-gas
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The categories of this paper are: math