DBpedia Live Neural Question Answering Chatbot - GSoC2020

In this topic, the student will implement and deploy a live chatbot version of the DBpedia Neural Question Answering dataset.

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Could please provide project details and use our usual project description structure. Thank you :slight_smile:

DESCRIPTION
Goal
Impact
Warm-up tasks:
Mentors
Keywords

Description
In this topic, the student will implement and deploy a live chatbot version of the DBpedia Neural Question Answering dataset [1].

[1] https://github.com/AKSW/DBNQA

Goal
Create a life DBpedia Neural Chatbot based on DBNQA and NSpM.

Impact
(1) Facilitate access to DBpedia content;
(2) Enable community evaluation and feedback of DBpedia NSpM models.

Warm-up tasks
(1) Fork the NsPM project (https://github.com/AKSW/NSPM);
(2) Train the Monument 300 and Monument 600 datasets https://github.com/AKSW/NSpM/tree/master/data;
(4) Fork and train the model using a subset (30 first lines) of DBNQA dataset;
(5) Instantiate the NSpM Telegram Chatbot: https://github.com/AKSW/NSpM/wiki/NSpM-Telegram-Bot

Mentors
Edgard Marx
Diego Moussallem

Keywords
#NSpM #DBpedia #Chatbot #AI #ConversationalAI

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