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Contextual PropsDE

What is Contextual PropsDE?

Contextual PropsDE is an extension to PropsDE. Instead of creating relations of each sentence, it uses E2E-German or CorZu for Coreference-Resolution and maps the coreferences to the entities to create a knowledge graph. This knowledge graph is saved to a Neo4j Graph database, where it can be used for information retrieval.

PropsDE

original English version

online demo for English and German

Contact person: Christian Hesels, christianhesels@gmail.com

This repository contains experimental software and is published for the sole purpose of giving additional background details on the respective publication.

Prerequisites

• python >= 3 (tested with 3.6.9)
• java >= 7 (JAVA_HOME has to be set)
• pip3 >= 9
• docker >= 19

Installation

1. Clone this repository and navigate into the root folder.

    git clone https://github.com/ChristianHesels/contextual-props-de.git
    cd contextual-props-de
   

2. Run the setup Script to install all dependencies and python requirements.

    ./setup.sh
    
   

3. Download the GloVe Word Embeddings and copy them into ext/e2e/data (2.5 GB) (Only for E2E-German).

    https://drive.google.com/file/d/1nN_qc3qHtPecxek0LsYf544ipJpfXEfj/view?usp=sharing
   
    
   

4. Download the trained E2E-German model (650 MB) and copy it to ext/e2e/logs with the name props (Only for E2E-German).

    https://drive.google.com/file/d/1L-kKxzlC0pPr_tJzRyi9xoTOKSPQXfNb/view?usp=sharing
    
   

5. Go to ext/e2e and open setup_all.sh in an editor. Uncomment your operating system and run ./setup_all.sh afterwards.

    ./setup_all.sh
   

Running

First start the Dependency Parser ParZu and the Neo4j Database with Docker:

• docker-compose build (first time)
• docker-compose up (first time)

Then start the python3 script with the coreference-resolution system you want to use (corzu or e2e):

• python3 props_corzu_e2e.py corzu
• python3 props_corzu_e2e.py e2e

E2E-German takes a longer time to load and needs at least 16 GB of RAM, because of the large word embeddings. The props_corzu_e2e.py Script is used for test purposes only, because E2E-German needs Elmo-Embeddings for it's full potential. Elmo can be trained with https://github.com/ChristianHesels/bilm-tf and used with the seperate implementation of E2E-German https://github.com/ChristianHesels/e2e-german.