ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.13275
  4. Cited By
Zero-shot Multi-Domain Dialog State Tracking Using Descriptive Rules

Zero-shot Multi-Domain Dialog State Tracking Using Descriptive Rules

17 September 2020
Edgar Altszyler
Pablo Brusco
Nikoletta Basiou
John Byrnes
D. Vergyri
ArXivPDFHTML

Papers citing "Zero-shot Multi-Domain Dialog State Tracking Using Descriptive Rules"

3 / 3 papers shown
Title
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing?
  A Structured Review
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review
Kyle Hamilton
Aparna Nayak
Bojan Bozic
Luca Longo
NAI
29
57
0
24 Feb 2022
Every time I fire a conversational designer, the performance of the
  dialog system goes down
Every time I fire a conversational designer, the performance of the dialog system goes down
Giancarlo A. Xompero
Michele Mastromattei
Samir Salman
Cristina Giannone
Andrea Favalli
Raniero Romagnoli
Fabio Massimo Zanzotto
24
0
0
27 Sep 2021
Logic Tensor Networks for Semantic Image Interpretation
Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
Artur Garcez
62
209
0
24 May 2017
1