Classification dataset generator library for high level Nlp tasks
You can also see Python, Java, Js, C++, C, Swift, or C# repository.
To check if you have a compatible version of Python installed, use the following command:
python -V
You can find the latest version of Python here.
Install the latest version of Git.
pip3 install NlpToolkit-DataGenerator-Cy
In order to work on code, create a fork from GitHub page.
Use Git for cloning the code to your local or below line for Ubuntu:
git clone <your-fork-git-link>
A directory called DataGenerator will be created. Or you can use below link for exploring the code:
git clone https://github.com/starlangsoftware/DataGenerator-Cy.git
Steps for opening the cloned project:
DataGenerator-CY
fileDataSet yaratmak için AnnotatedDataSetGenerator sınıfı önce üretilir.
AnnotatedDataSetGenerator(self, folder: str, pattern: str, instanceGenerator: InstanceGenerator)
Ardından generate metodu ile DataSet yaratılır.
generate(self) -> DataSet
DataGeneratorlerin InstanceGeneratorlere ihtiyacı vardır. Bunlar bir tek kelimeden bir
Instance yaratan sınıflardır.
generateInstanceFromSentence(self, sentence: Sentence, wordIndex: int) -> Instance
NER problemi için NerInstanceGenerator, FeaturedNerInstanceGenerator ve
VectorizedNerInstanceGeneratorsınıfı
ShallowParse problemi için ShallowParseInstanceGenerator,
FeaturedShallowParseInstanceGenerator ve VectorizedShallowParseInstanceGenerator sınıfı
WSD problemi için SemanticInstanceGenerator, FeaturedSemanticInstanceGenerator ve
VectorizedSemanticInstanceGenerator sınıfı
Morphological Disambiguation problemi için FeaturedDisambiguationInstanceGenerator sınıfı
If you use this resource on your research, please cite the following paper:
```
@article{acikgoz,
title={All-words word sense disambiguation for {T}urkish},
author={O. Açıkg{\”o}z and A. T. G{\”u}rkan and B. Ertopçu and O. Topsakal and B. {\”O}zenç and A. B. Kanburoğlu and {.{I}}. Çam and B. Avar and G. Ercan and O. T. Y{\i}ld{\i}z},
journal={2017 International Conference on Computer Science and Engineering (UBMK)},
year={2017},
pages={490-495}
}
@inproceedings{ertopcu17,
author={B. {Ertopçu} and A. B. {Kanburoğlu} and O. {Topsakal} and O. {Açıkgöz} and A. T. {Gürkan} and B. {Özenç} and İ. {Çam} and B. {Avar} and G. {Ercan} and O. T. {Yıldız}},
booktitle={2017 International Conference on Computer Science and Engineering (UBMK)}, title={A new approach for named entity recognition},
year={2017},
pages={474-479}
}