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Predicting Causes of Reformulation in Intelligent Assistants
Shumpei Sano
|
Nobuhiro Kaji
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Manabu Sassano
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Paper Details:
Month: August
Year: 2017
Location: Saarbrücken, Germany
Venue:
SIGDIAL |
WS |
SIG: SIGDIAL
Citations
URL
No Citations Yet
https://doi.org/10.1145/1835449.1835458
https://doi.org/10.21437/Interspeech.2016-1273
https://doi.org/10.1145/2806416.2806491
https://doi.org/10.1145/2505515.2505682
https://doi.org/10.3115/1073336.1073363
https://doi.org/10.1016/0167-
https://doi.org/10.1145/1645953.1645966
https://doi.org/10.1145/2736277.2741669
https://doi.org/10.1145/2484028.2484092
https://doi.org/10.1145/2854946.2854961
https://doi.org/10.3115/980845.980969
https://doi.org/10.1109/TPAMI.2007.1078
https://doi.org/10.1162/coli.2006.32.3.417
https://doi.org/10.18653/v1/W15-4647
https://doi.org/10.18653/v1/P16-1114
https://doi.org/10.1109/MSP.2016.2617341
https://doi.org/10.1016/j.specom.2015.06.003
https://doi.org/10.1145/2872427.2882994
Field Of Study
Linguistic Trends
Discourse
Task
Language Understanding
Language Generation
ASR
Language
English
Japanese
Dataset
Spoken Dialog
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