DBpedia Neural Multilingual QA - GSoC2020

In this topic, the student will implement an approach that extends a monolingual original DBNQA dataset into a multilingual one.

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 an approach that extends a monolingual original DBNQA dataset [1] into a multilingual one.

Goal
Extend the NSpM framework to couple with the multilingualism challenge.

Impact
QA systems enable lay users to access content, however many of these systems are English-centric. Promoting models to other languages is pivotal to democratize knowledge access as well as to engage communities of minority languages.

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;
(3) Perform the Tensorflow tutorial for machine translation available at https://www.tensorflow.org/tutorials/text/nmt_with_attention

Mentors
Edgard Marx

Keywords
#NSpM #DBpedia #Multilingual #QA #MT