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Code for the paper: Using the Interest Theory of Rights and Hohfeldian Taxonomy to Address a Gap in Machine Learning Methods for Legal Document Analysis. Ahmed Izzidien. (Humanities and Social Sciences Communications). In Press.

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Digitising_Hohfeld.ipynb

Digitising_Hohfeld.ipynb

 
 

Hoh_data_Discrim.py

Hoh_data_Discrim.py

 
 

Hoh_desc.csv

Hoh_desc.csv

 
 

Hoh_desc_labels.csv

Hoh_desc_labels.csv

 
 

README.md

README.md

 
 

sentences.py

sentences.py

 
 

want_unwant.py

want_unwant.py

 
 

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Digitising Hohfeld

Code for the paper:

Izzidien, A. Using the interest theory of rights and Hohfeldian taxonomy to address a gap in machine learning methods for legal document analysis. Humanit Soc Sci Commun 10, 251 (2023). https://doi.org/10.1057/s41599-023-01693-z

Link to article https://www.nature.com/articles/s41599-023-01693-z

ReadCube article link (PDF): https://rdcu.be/dct2H

ReadCube PDF link: https://www.nature.com/articles/s41599-023-01693-z.epdf?sharing_token=BV_CM9BN8JAoUIRCy1vBMFxOt48VBPO10Uv7D6sAgHs914Y3D9b0HXDFHjTPnu-aTtp42SNcWo3xhsYyHnMcWcsEEfLXZrR2vTGwkjqy8NKTIZ90FDpwh50CRHExRInrJN_CSnidI5h-KOUHvA9vQL9p-vsKKwSWeriNzt4coFo%3D

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Code for the paper: Using the Interest Theory of Rights and Hohfeldian Taxonomy to Address a Gap in Machine Learning Methods for Legal Document Analysis. Ahmed Izzidien. (Humanities and Social Sciences Communications). In Press.

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