KO
|
EN
gitlite — search
Search
#python
#java
#python3
#arduino
#golang
#machine-learning
#rust
#html
#flask
#javascript
#seismology
#nodejs
KG-NMT
★ 11
Open GitHub ↗
Knowledge Graph-augmented NMT
Download README (.md)
Explore Similar Repositories
React-MUI-Calculator
:
A calculator made in React.js with Material-UI and Mathjs
Deepnudes
:
All that you dreamed it was and more..
Verilog
:
This repo will take you through different verilog projects
SeleniumBots
:
Bots written with Selenium
WHMCS-Dark
:
A Dark theme for the WHMCS admin page.
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
KG-NMT
?
Download (.md)
KG-NMT - Knowledge Graph-augmented NMT ========= ### About This project aims at delivering a framework which uses knowledge graphs into Neural Networks for augmenting the translation of entities in texts. ### All datasets and models All data pertaining to our publication can be found and downloaded via the command below ``` wget -r --no-parent https://hobbitdata.informatik.uni-leipzig.de/KG-NMT/ ; ``` ### Required steps Please first run ``` ./install.sh ./download_data.sh en de - it is for reproducing the results from our paper ``` Please move the file OpenNMT-py/tools/embeddings_to_torch.py to the main folder OpenNMT-py/embeddings_to_torch.py ``` mv OpenNMT-py/tools/embeddings_to_torch.py OpenNMT-py/ ``` ### Running steps If you want to run the first strategy of KG-NMT which relies on the use of Knowledge Graph embeddigns with Entity Link task, you should run ``` 1. ./kg-nmt_KGE+EL_workflow.sh ``` In case you want to run the second strategy of KG-NMT which relies on the use of Knowledge Graph embeddigns enriched with textual descriptions, please run ``` 2. ./kg-nmt_SemKGE_workflow.sh ``` ### KGE creation separately In case you prefer to create the knowledge graph embeddings before training it along with the NMT, you can run the code below for the KGE without textual descriptions. ``` 1. ./KGE_creation.sh language ``` Or the one with textual descriptions. ``` 2. ./SemKGE_creation.sh language ``` ### Structure KG-NMT currently consists of the following modules: 1. OpenNMT-py - NMT submodule component, you can change it for a tensorflow implementation or another NMT system 2. fastText - responsible for creating knowledge graph embeddings, you can also change it for another KGE implementation 3. KG-NMT workflows - they are responsible for creating both strategies described in our paper 4. Entiy Linker - the component responsible for annotating the entities in the billingual parallel corpora, you can also replace for another EL system. ### Support and Feedback If you need help or you have questions do not hesitate to write an email to <a href="mailto:diego.moussallem@uni-paderborn.de">Diego Moussallem</a>. Or use the issue tracker in the right sidebar.
