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        "author": "Hao-Yuan Chen",
        "author_email": "truecirclely@gmail.com",
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        "description": "# rukip\nAn Embedded CKIP Rasa NLU Components\n\n## Introduction\nThis open-source library implements [Rasa](https://github.com/RasaHQ/rasa) custom components. \n\nIt offers```tokenizer``` and ```featurizer``` powered by [ckiptagger](https://github.com/ckiplab/ckiptagger) as components in RasaNLU pipeline.\n\n## Installation\n```bash\npip install rukip\n```\nrukip is a python library hosted on PyPI. Requirements:\n\n* python >= 3.6\n* rasa >= 1.4.0\n* ckiptagger[tf] >= 0.0.19\n\n## Usage\n\n### Download model files\nThe model files are available on several mirror sites.\n\n- [iis-ckip](http://ckip.iis.sinica.edu.tw/data/ckiptagger/data.zip)\n- [gdrive-ckip](https://drive.google.com/drive/folders/105IKCb88evUyLKlLondvDBoh7Dy_I1tm)\n- [gdrive-jacobvsdanniel](https://drive.google.com/drive/folders/15BDjL2IaX3eYdFVzT422VwCb743Hrbi3)\n\nYou can download and extract to the desired path by the following steps:\n\n1. Downloads to ```./data.zip``` \n2. Extracts to ```./data/```\n\nAdd ```CKIPTokenizer``` component into rasa nlu pipeline and configure model_path as ```./data```. \n\nThe following is the example ***Rasa NLU config file*** \n\n```yaml\n language: \"zh\"\n pipeline:\n   - name: \"rukip.tokenizer.CKIPTokenizer\"\n     model_path: \"./data\"\n   - name: \"rukip.featurizer.CKIPFeaturizer\"\n     model_path: \"./data\"\n     token_features: [\"word\", \"pos\"]\n   - name: \"CRFEntityExtractor\"\n     features: [[\"ner_features\"], [\"ner_features\"], [\"ner_features\"]]\n   - name: \"CountVectorsFeaturizer\"\n   - name: \"EmbeddingIntentClassifier\"\n\n```\n\n### Components\n#### CKIPTokenizer\nThis component has **one** required field (model_path) to be configured and offers **two** optional fields for user to assign dictionaries.\n\n* ```recommend_dict_path ``` is the file containing list of user-defined recommended-word. Default is ```None```\n* ```cooerce_dict_path``` is the file containing a list of must-word. Default is ```None```\n\nThe following is the example of user-defined dictionary. Each line shows one pair of word and weight.\n\n```\n\u571f\u5730\u516c 1\n\u571f\u5730\u5a46 1\n\u516c\u6709 2\n\u4f86\u4e82\u7684 1\n\u7def\u4f86\u9ad4\u80b2\u53f0 1\n\n``` \n\n#### CKIPFeaturizer\nThis component has **one** required field (model_path) to be configured and offers another optional fields for user to assign.\n\n* ```token_features ``` is list of features extracted from ckiptagger to generate ```ner_features```. Default is ```[\"word\", \"pos\"]```\n\n## Development\n```bash\n$> git clone git@github.com:circlelychen/rukip.git\n$> pip install -r requirements-to-freeze.dev.txt\n$> make test\n```\n\n## License\nlicensed under the GNU General Public License v3.0\n\n\n",
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