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chatbot-covid-generator's Introduction

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chatbot-covid-generator's Issues

Sept 3rd, 2020 - Meeting Notes

Additional comments included by the professor while sharing the link:

  • DialogFlow is the easiest to build chatbots. They allow slot-filling. Start with it.

  • Also, try out MindMeld (open source) if interested.

  • ParlAI is the one we can focus on. It is a RL-based dialog framework and can scale to small and big cases. 

https://
parl.ai/


  • 
IBM Watson Conversation

  • Read the following paper regarding the Motivation for chatbot generator.

Own notes:
Three ways of creating chatbots explained during the meeting by the professor:

  • Finite automata (easiest)
  • Slot filling (recommended). e.g. dialogflow
  • Learning based. e.g parl.ai (open source)

At least cover 2 languages (e.g. English & Spanish)

  • (splitted into separate issue) Build a chatbot

Website with covid information gathered by the professor

TODO:

  • Fill proposal in the spreadsheet/doc from email

Oct 23rd, 2020 - Meeting notes

Project was presented to Prof. Biplav with the functionalities as of commit 42c15fe. Following observations were made:

  • Enhance prompt to differentiate User from Bot:
    User $:
    System (Covid:ES:Mexico)$:

  • Fix accuracy of chatbot for generic/specific questions.

  • Turn everything into an infinite loop with options like Go back with 'Bye' to return to generation loop.

  • Welcome message based on language

  • Expand answers with "Show one answer. Say showing 1 of N." message and probably 'continue' option.

  • Project presentation will be 1 slide (5 minutes). Demo should be shown

  • Project report

Regarding paper presentation:

  • 1 slide presentation (5 mins). 1 paper from:
    acl 2019, acl 2020, aaai 2019, aaai 2020, ijcai 2019, ijcai 2020

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