Metadata-Version: 2.1
Name: ruconceptnet
Version: 0.0.1
Summary: Russian part of ConceptNet5.7 graph, fast access to relations.
Home-page: https://github.com/alexeyev/RussianConceptNet
Author: Anton Alekseev
Author-email: anton.m.alexeye@gmail.com
License: UNKNOWN
Keywords: nlp,knowledge graph,russian language
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown

# RussianConceptNet
ConceptNet 5.7 (Russian part) extraction scripts + fast access to relations. Note: a simple modification of the 
preprocessing script allows to build a queryable graph of **any other subset of ConceptNet**.

### Preparations

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.

### Usage

```
>>> from conceptnet 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'])
```

## Citing

Please do not forget to cite the ConceptNet5 paper:
```
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017. "ConceptNet 5.5: An Open Multilingual Graph of General Knowledge." In proceedings of AAAI 31.
```

Citing the repository is greatly appreciated as well, if you use this work.

## 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).

