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Tessa 时间: 01-21 14:44   主题:无标题
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Manual 时间: 01-21 14:32   主题:无标题
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Chi 时间: 01-21 14:05   主题:无标题
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Bennett 时间: 01-21 13:32   主题:无标题
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To handle these phenomena we suggest a Dialogue State Tracking with Slot Connections (DST-SC) mannequin to explicitly consider slot correlations throughout totally different domains.
Specially we first apply a Slot Attention to study a set of slot-particular options from the unique dialogue and then combine them using a slot data sharing module. Slot Attention with Value Normalization for Multi-Domain Dialogue State Tracking Yexiang Wang writer Yi Guo creator Siqi Zhu writer 2020-nov text Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) Association for Computational Linguistics Online conference publication Incompleteness of domain ontology and unavailability of some values are two inevitable problems of dialogue state tracking (DST).
In this paper we suggest a brand new architecture to cleverly exploit ontology which consists of Slot Attention (SA) and Value Normalization (VN) referred to as SAVN. SAS: Dialogue State Tracking via Slot Attention and Slot Inf
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Melvin 时间: 01-21 12:51   主题:无标题
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Jann 时间: 01-21 12:44   主题:无标题
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Jamison 时间: 01-21 12:42   主题:无标题
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Santiago 时间: 01-21 12:29   主题:无标题
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Mabel 时间: 01-21 12:22   主题:无标题
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Rosemarie 时间: 01-21 12:15   主题:无标题
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