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Reusable Abstractions and Patterns for Recognising Compositional Conversational Flows

  • Sara Bouguelia
  • , Hayet Brabra
  • , Shayan Zamanirad
  • , Boualem Benatallah
  • , Marcos Baez
  • , Hamamache Kheddouci
  • IGFL, Université de Lyon, Université Lyon 1
  • University of New South Wales

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Task-oriented conversational bots allow users to access services and perform tasks through natural language conversations. However, integrating these bots and software-enabled services has not kept pace with our ability to deploy individual devices and services. The main drawbacks of current bots and services integration techniques stem from the inherent development and maintenance cost. In addition, existing Natural Language Processing (NLP) techniques automate various tasks but the synthesis of API calls to support broad range of potentially complex user intents is still largely a manual and costly process. In this paper, we propose three types of reusable patterns for recognising compositional conversational flows and therefore automatically support increased complexity and expressivity during the conversation.

Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering - 33rd International Conference, CAiSE 2021, Proceedings
EditorsMarcello La Rosa, Shazia Sadiq, Ernest Teniente
PublisherSpringer Science and Business Media Deutschland GmbH
Pages161-176
Number of pages16
ISBN (Print)9783030793814
DOIs
Publication statusPublished - 1 Jan 2021
Externally publishedYes
Event33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021 - Virtual, Online
Duration: 28 Jun 20212 Jul 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12751 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021
CityVirtual, Online
Period28/06/212/07/21

Keywords

  • Compositional conversational flows
  • Conversational bots
  • Dialogue patterns
  • Nested intent
  • Slot value inference

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