Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using multiple ASR hypotheses to boost i18n NLU performance   Current voice assistants typically use the best hypothesis yielded by their
Automatic Speech Recognition (ASR) module as input to their Natural Language
Understanding (NLU) module, thereby losing helpful information that might be
stored in lower-ranked ASR hypotheses. We explore the change in performance of
NLU associated tasks when utilizing five-best ASR hypotheses when compared to
status quo for two language datasets, German and Portuguese. To harvest
information from the ASR five-best, we leverage extractive summarization and
joint extractive-abstractive summarization models for Domain Classification
(DC) experiments while using a sequence-to-sequence model with a pointer
generator network for Intent Classification (IC) and Named Entity Recognition
(NER) multi-task experiments. For the DC full test set, we observe significant
improvements of up to 7.2% and 15.5% in micro-averaged F1 scores, for German
and Portuguese, respectively. In cases where the best ASR hypothesis was not an
exact match to the transcribed utterance (mismatched test set), we see
improvements of up to 6.7% and 8.8% micro-averaged F1 scores, for German and
Portuguese, respectively. For IC and NER multi-task experiments, when
evaluating on the mismatched test set, we see improvements across all domains
in German and in 17 out of 19 domains in Portuguese (improvements based on
change in SeMER scores). Our results suggest that the use of multiple ASR
hypotheses, as opposed to one, can lead to significant performance improvements
in the DC task for these non-English datasets. In addition, it could lead to
significant improvement in the performance of IC and NER tasks in cases where
the ASR model makes mistakes.

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The categories of this paper are: comp-gas
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The categories of this paper are: nucl-th
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The categories of this paper are: chem-ph
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The categories of this paper are: stat
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The categories of this paper are: nlin
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The categories of this paper are: acc-phys
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-lat
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The categories of this paper are: chao-dyn
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The categories of this paper are: eess
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The categories of this paper are: q-fin
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The categories of this paper are: astro-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: q-alg
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The categories of this paper are: solv-int
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The categories of this paper are: alg-geom