Vertext: An end-to-end ai powered conversation management system for multi-party chat platforms

Omer Anjum, Chak Ho Chan, Tanitpong Lawphongpanich, Yucheng Liang, Tianyi Tang, Shuchen Zhang, Wen Mei Hwu, Jinjun Xiong, Sanjay Patel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Online communication platforms like Slack and Microsoft teams have become increasingly crucial for a digitized workplace to improve business efficiency and growth. However, these chat platforms can overwhelm the users with unstructured long streams of back and forth discussions scattered in various places. Thus, discussions become challenging to follow, leading to an increased likelihood of missing valuable information. Moreover, with the unsatisfying keyword-based chat search, users spend a significant amount of time to read, digest, and recall information from the conversations at the cost of productivity. In this paper, we present Vertext, an end-to-end AI system that ingests user conversations and automatically extracts information such as announcements, task assignments, and conversation summary. Moreover, Vertext gives a unique search experience to the users by providing search results along with their context, with an improved performance enabled by semantic search. For the ease of user interaction, all the information is consolidated on a single dashboard provided by Vertext.

Original languageEnglish (US)
Title of host publicationCSCW 2020 Companion - Conference Companion Publication of the 2020 Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages1-6
Number of pages6
ISBN (Electronic)9781450380591
DOIs
StatePublished - Oct 17 2020
Event3rd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2020 - Virtual, Online, United States
Duration: Oct 17 2020Oct 21 2020

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference3rd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2020
CountryUnited States
CityVirtual, Online
Period10/17/2010/21/20

Keywords

  • Artificial intelligence
  • Collaborative chat platforms for business
  • Conversation disentanglement
  • Deep average network
  • Dialog act classification
  • Microsoft teams
  • Natural language processing
  • Search engine for chat
  • Semantic search
  • Slack
  • Transformer

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Human-Computer Interaction

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