Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.3%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Frankfurt-BigDataLab
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 48.6 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 1
Created over 4 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

NLP-on-multilingual-coin-descriptions


Experimental: You can try it as a human: Open under Corpus Numorum

or test it in Colab: Open In Colab

Use it in your code via FastAPI:

There is also a FastAPI were you can POST requests with parameters in a JSON block: https://data.corpus-nummorum.eu/api/nlp#/default/ Providing: - /ner/ Named Entity Recognition - /re/ Predict Relation Extraction - /rdf/ The generation of a RDF representation for NER and RE


Access relevant information from iconographies of the Corpus Numorum Online using natural language processing. Improvement of named entity recognition, followed by the extraction of relationships for the entity types "PERSON", "OBJECT", "ANIMAL" and "PLANT".

Requirements:

  • python 3.8.12
  • pandas 1.3.3
  • spacy 2.3.7
  • scikit-learn 0.24.2
  • SQL database

Credits

This project is based on a number of theses: - Patricia Klinger: Natural Language Processing to enable semantic search on numismatic descriptions.


Reference

  • https://www.corpus-nummorum.eu/
  • http://numismatics.org/ocre/
  • Patricia Klinger, Sebastian Gampe, Karsten Tolle, Ulrike Peter (2018). Semantic Search based on Natural Language Processing – a Numismatic example. Journal of Ancient History and Archaeology (JAHA) Vol 5 No. 3 (2018) 68-79 (DOI: 10.14795/j.v5i3.334, http://jaha.org.ro/index.php/JAHA/article/view/334/244)

Owner

  • Name: Frankfurt-BigDataLab
  • Login: Frankfurt-BigDataLab
  • Kind: organization

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: NLP-on-multilingual-coin-descriptions
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - affiliation: Goethe University Frankfurt
    given-names: Chrisowalandis
    family-names: Deligio
    orcid: 'https://orcid.org/0000-0002-5708-4271'
  - given-names: Sebastian
    family-names: Gampe
    email: gampe@em.uni-frankfurt.de
    affiliation: Goethe University Frankfurt
    orcid: 'https://orcid.org/0009-0002-8700-3505'
  - given-names: Karsten
    family-names: Tolle
    email: K.Tolle@em.uni-frankfurt.de
    affiliation: Goethe University Frankfurt
    orcid: 'https://orcid.org/0000-0002-9953-7638'
  - given-names: Patricia
    family-names: Klinger
  - given-names: Kerim
    family-names: Gencer
abstract: >
  Pipeline to extract named entities and their relation
  between each other for ancient coin descriptions. 

  Providing:

      /ner/ Named Entity Recognition
      /re/ Predict Relation Extraction
      /rdf/ The generation of a RDF representation for NER and RE
license: CC-BY-NC-SA-3.0

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