Volume 3: SGAMR is Always on Track!

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Is this conversation on track?

Confidence annotation allows a spoken dialog system to accurately assess the likelihood of misunderstanding at the utterance level and to avoid breakdowns in interaction. We describe experiments that assess the utility of features from the decoder, parser and dialog levels of processing. We also investigate the effectiveness of various classifiers, including Bayesian Networks, Neural Networks, ...

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In this paper we give an outline of recent algebraic results concerning theories and models of the untyped lambda calculus.

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ژورنال

عنوان ژورنال: International Journal of Structural Glass and Advanced Materials Research

سال: 2020

ISSN: 2616-4507

DOI: 10.3844/sgamrsp.2020.184.185