https://github.com/alexeyev/ruconceptnet

/ru/ConceptNet5.7 Python wrapper
https://github.com/alexeyev/ruconceptnet

conceptnet knowledge-graph russian-language russian-nlp

Last synced: 4 days ago
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/ru/ConceptNet5.7 Python wrapper

• Host: GitHub
• URL: https://github.com/alexeyev/ruconceptnet
• Owner: alexeyev
• License: mit
• Created: 2020-11-19T14:01:45.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2020-11-26T18:38:35.000Z (almost 4 years ago)
• Last Synced: 2024-09-03T21:20:35.683Z (2 months ago)
• Topics: conceptnet, knowledge-graph, russian-language, russian-nlp
• Language: Python
• Homepage:
• Size: 4.11 MB
• Stars: 8
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# /ru/ConceptNet

ConceptNet 5.7 (Russian part) extraction scripts + fast API object to access the relations. Note: a simple modification of the 

preprocessing script allows to build a queryable graph of **any other subset of ConceptNet**.

![Python 3x](https://img.shields.io/badge/python-3.x-blue.svg)

[![PyPI version][pypi_badge]][pypi_link]

[![Downloads](https://pepy.tech/badge/ruconceptnet)](https://pepy.tech/project/ruconceptnet)

[pypi_badge]: https://badge.fury.io/py/ruconceptnet.svg

[pypi_link]: https://pypi.python.org/pypi/ruconceptnet

### Installation

```

pip install ruconceptnet

```

### Usage

```

>>> from ruconceptnet import ConceptNet

>>> cn = ConceptNet()

>>> cn.get_targets("алкоголь")

[('этиловый_спирт', {'Synonym'}), ('спиртной_напиток', {'Synonym'}), ('алкогольный', {'RelatedTo'}), 

('алкоголик', {'RelatedTo'}), ('спирт', {'Synonym'}), ('алкоголизация', {'RelatedTo'})]

>>> cn.get_sources("йога")

[('йоги', {'FormOf'}), ('йогу', {'FormOf'}), ('йогический', {'RelatedTo'}), ('йогою', {'FormOf'}), 

('йогой', {'FormOf'}), ('йог', {'RelatedTo'}), ('йоге', {'FormOf'})]

>>> cn.check_pair("человек", "зверь")

(['DistinctFrom'], [])

>>> cn.check_pair("зверь", "человек")

([], ['DistinctFrom'])

```

### Preparations for customization

Please see the `prepare_data.sh` script. We get the Russian-Russian pairs of nodes with simple `grep` and build

a 3-dimensional array (source, target, relation) stored as a single sparse SciPy matrix.

## Citing

Please do not forget to cite the ConceptNet5 paper.

```

@inproceedings{10.5555/3298023.3298212,

  author = {Speer, Robyn and Chin, Joshua and Havasi, Catherine},

  title = {ConceptNet 5.5: An Open Multilingual Graph of General Knowledge},

  year = {2017},

  publisher = {AAAI Press},

  booktitle = {Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence},

  pages = {4444–4451},

  numpages = {8},

  location = {San Francisco, California, USA},

  series = {AAAI'17}

}

```

Citing the repository is not necessary, but greatly appreciated as well, if you use this work.

```

@misc{ruconceptnet2020alekseev,

  title     = {{alexeyev/RuConceptNet: /ru/ConceptNet5.7 Python wrapper }},

  year      = {2020},

  url       = {https://github.com/alexeyev/RuConceptNet},

  language  = {english}

}

```

## License

The code is released under the MIT license (please see the `LICENSE` file).

This work includes a subset data from ConceptNet 5, which was compiled by the

Commonsense Computing Initiative. ConceptNet 5 is freely available under

the Creative Commons Attribution-ShareAlike license (CC BY SA 3.0) from

http://conceptnet.io.

The included data was created by contributors to Commonsense Computing

projects, contributors to Wikimedia projects, DBPedia, OpenCyc, Games

with a Purpose, Princeton University's WordNet, Francis Bond's Open

Multilingual WordNet, and Jim Breen's JMDict.

The complete data in ConceptNet is available under the Creative Commons Attribution-ShareAlike 4.0 license.

For more details, please see ["Copying and sharing ConceptNet"](https://github.com/commonsense/conceptnet5/wiki/Copying-and-sharing-ConceptNet).