ANEA: Automated (Named) Entity Annotation for German Domain-Specific Texts

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Deep LearningANEA
Overview

ANEA

The goal of Automatic (Named) Entity Annotation is to create a small annotated dataset for NER extracted from German domain-specific texts.

Installation and execution

Python 3.8 Required approx. 8Gb of hard memory, 16Gb RAM

Download "numberbatch_voc.txt" from https://drive.google.com/file/d/1Ag3gQUBtmqB-WAGXk67nJwUvMiZ1DdQG/view?usp=sharing and place to

resources/numberbatch

You can either use your own documents stored as a list of strings in a json file, or use a key-word for searching in Wikipedia to get articles to annotate. Place your file into data folder.

Then execute

pip install -r requirements.txt

python -m spacy download de_core_news_sm

run_anea.py

Follow the instructions to choose a folder with your topic to annotate.

Owner
Anastasia Zhukova
Doctoral Researcher at the Data & Knowledge Exploration Group
Anastasia Zhukova
GitHub Repository
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