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  Slot Attention with Value Normalization for Multi-Domain Dialogue State Tracking Yexiang Wang author Yi
  Guo creator Siqi Zhu creator 2020-nov text Proceedings of the
  2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) Association for Computational Linguistics Online convention publication Incompleteness
  of domain ontology and unavailability of some values are two inevitable
  issues of dialogue state tracking (DST). On this paper, we
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  Normalization (VN), known as SAVN. SAS: Dialogue State Tracking through Slot Attention and Slot Information Sharing
  Jiaying Hu writer Yan Yang writer Chencai Chen author Liang
  He creator Zhou Yu creator 2020-jul text Proceedings of the 58th
  Annual Meeting of the Association for Computational Linguistics Association for Computational Linguistics Online
  conference publication Dialogue state tracker is responsible for inferring
  person intentions via dialogue history. We propose a Dialogue State Tracker with Slot
  Attention and Slot Information Sharing (SAS) to cut back redundant information’s interference and enhance long dialogue context tracking.
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