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  • ConvAI
    Please send two files per run as to clariq@convai io, indicating your team’s name, as well as your run ID Each team is allowed to send a maximum of one run per week You’ll also need to share your GitHub repository with us The run files should be formatted as described below
  • ConvAI3: Clarifying Questions for Open-Domain Dialogue Systems (ClariQ . . .
    The dialogs are partially automatically generated and partially generated by anonymous volunteers, so the organizers of ConvAI are not responsible for dialogs contents It you have spotted a serious issue, please contact organizers about it by email info@convai io
  • ConvAI3: Clarifying Questions for Open-Domain Dialogue Systems (ClariQ . . .
    This is the second Conversational Intelligence (ConvAI) Challenge The previous one was conducted under the scope of NIPS 2017 Competitions track This year we aim to improve over last year: providing a dataset from the beginning, Persona-Chat; making the conversations more engaging for humans
  • ConvAI3: Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)
    You can use the existing ParlAI integration from the first ConvAI competition To use the integration you need to use a ConvAI world, like this: from parlai projects convai convai_world import ConvAIWorld and run your bot with these command line options: python3 bot py -bi <BOT_TOKEN> -rbu <SERVER_URL>
  • ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue . . .
    ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ) Mohammad Aliannejadi1, Julia Kiseleva2, Aleksandr Chuklin3, Jeff Dalton4, and Mikhail Burtsev5 1University of Amsterdam, Amsterdam, The Netherlands, m aliannejadi@uva nl 2Microsoft Research AI, Seattle, USA, julia kiseleva@microsoft com
  • A Dataset of Topic-Oriented Human-to-Chatbot Dialogues - convai. io
    the rst round of Conversational Intelligence Challenge (ConvAI) which took place in July 2017 During this evaluation round we collected over 2,500 dialogues from 10 chatbots and 500 volunteers Here we provide the analysis of dataset statistics and outline some possible improvements for future data collection experiments 0 Disclaimer
  • ConvAI2 Competition: Results and Analysis
    This is the secondConvAI Challenge Last year focused on dialogue based on a news Wikipedia article This year we aim to improve over last year: Providing a dataset from the beginning, PersonaChat Making the conversations more engaging for humans Clearer evaluation process (automatic evaluation, followed by human eval)
  • ConvAI3: Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)
    The dialogs are partially automatically generated and partially generated by anonymous volunteers, so the organizers of ConvAI are not responsible for dialogs contents It you have spotted a serious issue, please contact organizers about it by email info@convai io




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