test-mass-forker-org-1 / un-knowledge-extraction

The goal is to pilot Microsoft Cognitive Services to unlock the strategic value of UN unstructured content by building on AI and semantic technologies. The idea is to showcase the innovative smart services that natural language processing and machine learning to effectively support policy and decision making, coordination, synergies and accountability.

Automatic Information Extraction and Knowledge Elicitation for United Nations Documents

Context:

The processing of considerable and rapidly growing amount of information within UN system is left to the very limited human capacities. The UN system produces a substantial amount of information that, if effectively mobilized, could greatly enhance the effectiveness and efficiency of the UN system.

Goal:

The goal is to pilot Microsoft Cognitive Services to unlock the strategic value of UN unstructured content by building on AI and semantic technologies. The idea is to showcase the innovative smart services that natural language processing and machine learning to effectively support policy and decision making, coordination, synergies and accountability.

Data:

UN General Assembly Resolutions (English only) between 2009 and 2018. In total 3138 resolution files in pdf format.

Data Reference:

pre-trained word2vec embeddings trained on part of Google News dataset (about 100 billion words): https://code.google.com/archive/p/word2vec/

Deliverables:

Resolution Level:

Resolution File Name
Resolution Session 
Resolution Agenda Item
Resolution Number
Resolution Title
Resolution Adoption Date/Month/Year

Paragraph Level:

Paragraph Type
First Action Verb
Key Terms
Referenced Resolutions
Referenced Resolution Dates
Sustainable Development Goals (SDG), Targets, and Indicators
Country
Organization Names

Setup

1. Install requirements

   This code use python 3.7

   pip install -r requirements.txt
   
   

2. Run Scripts

   a. Run the following file for extracting resolution level information: knowledge_extraction_resolution_level.py

   python knowledge_extraction_resolution_level.py
   
   

   b. Run the following file for extracting paragraph level information: knowledge_extraction_paragraph_level.py

   python knowledge_extraction_paragraph_level.py
   
   

Contributing

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Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.