There are ~8000 more nodes in the graph: Each is a semantic domain (question), with links to each of its words in different languages. Creating dictionaries means finding these links.
Motivation: build GNN -> increase DC precision and recall > 0.30
Tasks
[x] Move the whole graph structure to NetworkX.
[x] Add semantic domain questions.
[ ] Add semantic domains.
[ ] (Without GNN: For each target word, add the semantic domains of all its translation candidates and select the most likely ones.)
[ ] Compare both approaches.
Notes
give up 1:1 idea
idea shift: map a group of words in one lang to a group of words in another language?
For example, we could recognize eng:polluted by adding the two connections to 4.9.5.6.
Goal
There are ~8000 more nodes in the graph: Each is a semantic domain (question), with links to each of its words in different languages. Creating dictionaries means finding these links. Motivation: build GNN -> increase DC precision and recall > 0.30
Tasks
Notes
eng:polluted
by adding the two connections to4.9.5.6
.