mlsanityData to 14 Oct 2026

ShopTalk: A System for Conversational Faceted Search

arXiv 2109.00702 ↗First posted 2 Sep 2021cs.CLcited by 1

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Abstract (arXiv)

We present ShopTalk, a multi-turn conversational faceted search system for shopping that is designed to handle large and complex schemas that are beyond the scope of state of the art slot-filling systems. ShopTalk decouples dialog management from fulfillment, thereby allowing the dialog understanding system to be domain-agnostic and not tied to the particular shopping application. The dialog understanding system consists of a deep-learned Contextual Language Understanding module, which interprets user utterances, and a primarily rules-based Dialog-State Tracker (DST), which updates the dialog state and formulates search requests intended for the fulfillment engine. The interface between the two modules consists of a minimal set of domain-agnostic "intent operators," which instruct the DST on how to update the dialog state. ShopTalk was deployed in 2020 on the Google Assistant for Shopping searches.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 25 of its 44 references that are in the map. First posted on arXiv 2 Sep 2021.

Builds on

25 of 44 references.

References · 25

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13 more
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Citing papers per year: 2023: 1.

1 paper.

  1. 2023Task Conditioned BERT for Joint Intent Detection and Slot-fillingcited by 3