arXiv:1605.02129
Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task
원문 초록
The Dialog State Tracking Challenge 4 (DSTC 4) proposes several pilot tasks. In this paper, we focus on the spoken language understanding pilot task, which consists of tagging a given utterance with speech acts and semantic slots. We compare different classifiers: the best system obtains 0.52 and 0.67 F1-scores on the test set for speech act recognition for the tourist and the guide respectively, and 0.52 F1-score for semantic tagging for both the guide and the tourist.
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"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding
QUADS: QUAntized Distillation Framework for Efficient Speech Language Understanding
LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams
Measuring the Effect of Transcription Noise on Downstream Language Understanding Tasks
토론
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