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Description
  • The paper presents a new discriminative model for statistical spoken language understanding designed for use in spoken dialog systems. The parsing algorithm uses lexicalized grammar derived from unaligned training data with probability estimates generated by multiclass classifiers. The generated semantic trees are partially aligned with the input sentence to provide lexical realisation of semantic concepts. The model was evaluated on two semantically annotated corpora and in both tasks it outperforms the baseline Hidden Vector State parser and Semantic Tuple Classifiers model. The experiments were performed using both transcribed data and recognized lattices. The innovative aspect of using phoneme lattices in the understanding process instead of word lattices is examined and described.
  • The paper presents a new discriminative model for statistical spoken language understanding designed for use in spoken dialog systems. The parsing algorithm uses lexicalized grammar derived from unaligned training data with probability estimates generated by multiclass classifiers. The generated semantic trees are partially aligned with the input sentence to provide lexical realisation of semantic concepts. The model was evaluated on two semantically annotated corpora and in both tasks it outperforms the baseline Hidden Vector State parser and Semantic Tuple Classifiers model. The experiments were performed using both transcribed data and recognized lattices. The innovative aspect of using phoneme lattices in the understanding process instead of word lattices is examined and described. (en)
Title
  • Hierarchical discriminative model for spoken language understanding
  • Hierarchical discriminative model for spoken language understanding (en)
skos:prefLabel
  • Hierarchical discriminative model for spoken language understanding
  • Hierarchical discriminative model for spoken language understanding (en)
skos:notation
  • RIV/49777513:23520/13:43919661!RIV14-TA0-23520___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0090), P(TE01020197)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 77311
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/13:43919661
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Spoken language understanding; Dialogue systems; Automatic speech recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [70B2ACDECBD6]
http://linked.open...v/mistoKonaniAkce
  • Vancouver, BC, Canada
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Ircing, Pavel
  • Šmídl, Luboš
  • Švec, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1520-6149
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ICASSP.2013.6639288
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4799-0356-6
http://localhost/t...ganizacniJednotka
  • 23520
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