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        "author": "Gao Quan",
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        "description": "# Rasa NLU GQ\nRasa NLU (Natural Language Understanding) \u662f\u4e00\u4e2a\u81ea\u7136\u8bed\u4e49\u7406\u89e3\u7684\u5de5\u5177\uff0c\u4e3e\u4e2a\u5b98\u7f51\u7684\u4f8b\u5b50\u5982\u4e0b\uff1a\n\n> *\"I'm looking for a Mexican restaurant in the center of town\"*\n\nAnd returning structured data like:\n\n```\n  intent: search_restaurant\n  entities: \n    - cuisine : Mexican\n    - location : center\n```\n\n## Introduction\n\u539f\u6765\u7684\u9879\u76ee\u5728\u5206\u652f0.2.7\u4e0a\uff0c\u53ef\u81ea\u7531\u5207\u6362\u3002\u8fd9\u4e2a\u7248\u672c\u7684\u4fee\u6539\u662f\u57fa\u4e8e\u6700\u65b0\u7248\u672c\u7684rasa\uff0c\u5c06\u539f\u6765rasa_nlu_gao\u91cc\u9762\u7684component\u4fee\u6539\u4e86\u4e0b\uff0c\u5e76\u6ca1\u6709\u505a\u65b0\u589e\u3002\u5e76\u4e14\u4e4b\u524d\u505a\u6cd5\u6709\u4e9b\u7d2f\u8d58\uff0c\u5e76\u4e0d\u9700\u8981\u5728rasa\u6e90\u7801\u4e2d\u4fee\u6539\u3002\u53ef\u4ee5\u76f4\u63a5\u5c06\u539f\u6765\u7684component\u5f53\u505aaddon\u52a0\u8f7d\uff0c\u7ee7\u627f\u6700\u65b0\u7248\u672c\u7684rasa\uff0c\u53ef\u5b9e\u65f6\u66f4\u65b0\u3002\n\n## New features\n\u76ee\u524d\u65b0\u589e\u7684\u7279\u6027\u5982\u4e0b\uff08\u8bf7\u4e0b\u8f7d\u6700\u65b0\u7684rasa-nlu-gao\u7248\u672c\uff09(edit at 2019.06.24)\uff1a\n  - \u65b0\u589e\u4e86\u5b9e\u4f53\u8bc6\u522b\u7684\u6a21\u578b\uff0c\u4e00\u4e2a\u662fbilstm+crf\uff0c\u4e00\u4e2a\u662fidcnn+crf\u81a8\u80c0\u5377\u79ef\u6a21\u578b\uff0c\u5bf9\u5e94\u7684yml\u6587\u4ef6\u914d\u7f6e\u5982\u4e0b\uff1a\n  ```\n    language: \"zh\"\n\n    pipeline:\n    - name: \"JiebaTokenizer\"\n    - name: \"CountVectorsFeaturizer\"\n      token_pattern: \"(?u)\\b\\w+\\b\"\n    - name: \"EmbeddingIntentClassifier\"\n    - name: \"rasa_nlu_gao.extractors.bilstm_crf_entity_extractor.BilstmCRFEntityExtractor\"\n      lr: 0.001\n      char_dim: 100\n      lstm_dim: 100\n      batches_per_epoch: 10\n      seg_dim: 20\n      num_segs: 4\n      batch_size: 200\n      tag_schema: \"iobes\"\n      model_type: \"bilstm\" # \u6a21\u578b\u652f\u6301\u4e24\u79cdidcnn\u81a8\u80c0\u5377\u79ef\u6a21\u578b\u6216bilstm\u53cc\u5411lstm\u6a21\u578b\n      clip: 5\n      optimizer: \"adam\"\n      dropout_keep: 0.5\n      steps_check: 100\n  ```\n  - \u65b0\u589e\u4e86jieba\u8bcd\u6027\u6807\u6ce8\u7684\u6a21\u5757\uff0c\u53ef\u4ee5\u65b9\u4fbf\u8bc6\u522b\u540d\u5b57\uff0c\u5730\u540d\uff0c\u673a\u6784\u540d\u7b49\u7b49jieba\u80fd\u591f\u652f\u6301\u7684\u8bcd\u6027\uff0c\u5bf9\u5e94\u7684yml\u6587\u4ef6\u914d\u7f6e\u5982\u4e0b\uff1a\n  ```\n    language: \"zh\"\n\n    pipeline:\n    - name: \"JiebaTokenizer\"\n    - name: \"CRFEntityExtractor\"\n    - name: \"rasa_nlu_gao.extractors.jieba_pseg_extractor.JiebaPsegExtractor\"\n      part_of_speech: [\"nr\", \"ns\", \"nt\"]\n    - name: \"CountVectorsFeaturizer\"\n      OOV_token: oov\n      token_pattern: \"(?u)\\b\\w+\\b\"\n    - name: \"EmbeddingIntentClassifier\"\n  ```\n  - \u65b0\u589e\u4e86\u6839\u636e\u5b9e\u4f53\u53cd\u5411\u4fee\u6539\u610f\u56fe\uff0c\u5bf9\u5e94\u7684\u6587\u4ef6\u914d\u7f6e\u5982\u4e0b\uff1a\n  ```\n    language: \"zh\"\n\n    pipeline:\n    - name: \"JiebaTokenizer\"\n    - name: \"CRFEntityExtractor\"\n    - name: \"JiebaPsegExtractor\"\n    - name: \"CountVectorsFeaturizer\"\n      OOV_token: oov\n      token_pattern: '(?u)\\b\\w+\\b'\n    - name: \"EmbeddingIntentClassifier\"\n    - name: \"rasa_nlu_gao.classifiers.entity_edit_intent.EntityEditIntent\"\n      entity: [\"nr\"]\n      intent: [\"enter_data\"]\n      min_confidence: 0\n  ```\n  - \u65b0\u589e\u4e86bert\u6a21\u578b\u63d0\u53d6\u8bcd\u5411\u91cf\u7279\u5f81\uff0c\u5bf9\u5e94\u7684\u914d\u7f6e\u6587\u4ef6\u5982\u4e0b\uff1a\n  ```\n    language: \"zh\"\n\n    pipeline:\n    - name: \"JiebaTokenizer\"\n    - name: \"rasa_nlu_gao.featurizers.bert_vectors_featurizer.BertVectorsFeaturizer\"\n      ip: '127.0.0.1'\n      port: 5555\n      port_out: 5556\n      show_server_config: True\n      timeout: 10000\n    - name: \"EmbeddingIntentClassifier\"\n    - name: \"CRFEntityExtractor\"\n  ```\n  - \u65b0\u589e\u4e86\u5bf9CPU\u548cGPU\u7684\u5229\u7528\u7387\u7684\u914d\u7f6e\uff0c\u4e3b\u8981\u662f`EmbeddingIntentClassifier`\u548c`ner_bilstm_crf`\u8fd9\u4e24\u4e2a\u4f7f\u7528\u5230tensorflow\u7684\u7ec4\u4ef6\uff0c\u914d\u7f6e\u5982\u4e0b\uff08\u5f53\u7136config_proto\u53ef\u4ee5\u4e0d\u914d\u7f6e\uff0c\u9ed8\u8ba4\u503c\u4f1a\u5c06\u8d44\u6e90\u5168\u90e8\u5229\u7528\uff09\uff1a\n  ```\n    language: \"zh\"\n\n    pipeline:\n    - name: \"JiebaTokenizer\"\n    - name: \"CountVectorsFeaturizer\"\n      token_pattern: '(?u)\\b\\w+\\b'\n    - name: \"EmbeddingIntentClassifier\"\n      config_proto: {\n        \"device_count\": 4,\n        \"inter_op_parallelism_threads\": 0,\n        \"intra_op_parallelism_threads\": 0,\n        \"allow_growth\": True\n      }\n    - name: \"rasa_nlu_gao.extractors.bilstm_crf_entity_extractor.BilstmCRFEntityExtractor\"\n      config_proto: {\n        \"device_count\": 4,\n        \"inter_op_parallelism_threads\": 0,\n        \"intra_op_parallelism_threads\": 0,\n        \"allow_growth\": True\n      }\n  ```\n  - \u65b0\u589e\u4e86`embedding_bert_intent_classifier`\u5206\u7c7b\u5668\uff0c\u5bf9\u5e94\u7684\u914d\u7f6e\u6587\u4ef6\u5982\u4e0b\uff1a\n  ```\n    language: \"zh\"\n\n    pipeline:\n    - name: \"JiebaTokenizer\"\n    - name: \"rasa_nlu_gao.featurizers.bert_vectors_featurizer.BertVectorsFeaturizer\"\n      ip: '127.0.0.1'\n      port: 5555\n      port_out: 5556\n      show_server_config: True\n      timeout: 10000\n    - name: \"rasa_nlu_gao.classifiers.embedding_bert_intent_classifier.EmbeddingBertIntentClassifier\"\n    - name: \"CRFEntityExtractor\"\n  ```\n\n   - \u5728\u57fa\u7840\u8bcd\u5411\u91cf\u4f7f\u7528bert\u7684\u60c5\u51b5\u4e0b\uff0c\u540e\u7aef\u7684\u5206\u7c7b\u5668\u4f7f\u7528tensorflow\u9ad8\u7ea7api\u5b8c\u6210\uff0ctf.estimator,tf.data,tf.example,tf.saved_model\n   `intent_estimator_classifier_tensorflow_embedding_bert`\u5206\u7c7b\u5668\uff0c\u5bf9\u5e94\u7684\u914d\u7f6e\u6587\u4ef6\u5982\u4e0b\uff1a\n  ```\n  language: \"zh\"\n\n  pipeline:\n  - name: \"JiebaTokenizer\"\n  - name: \"rasa_nlu_gao.featurizers.bert_vectors_featurizer.BertVectorsFeaturizer\"\n    ip: '127.0.0.1'\n    port: 5555\n    port_out: 5556\n    show_server_config: True\n    timeout: 10000\n  - name: \"rasa_nlu_gao.classifiers.embedding_bert_intent_estimator_classifier.EmbeddingBertIntentEstimatorClassifier\"\n  - name: \"SpacyNLP\"\n  - name: \"CRFEntityExtractor\"\n  ```\n\n  - [rasa-nlu\u7684\u7a76\u6781\u5f62\u6001](https://www.jianshu.com/p/553e37ffbac0)\uff0c\u5bf9\u5e94\u7684\u914d\u7f6e\u6587\u4ef6\u5982\u4e0b(edit at 2019.10.01)\u53ef\u53c2\u8003\u4e0a\u9762\u7684\u6587\u7ae0\n\n## Quick Install\n```\npip install rasa-nlu-gao\n```\n\n## Some Examples\n\u5177\u4f53\u7684\u4f8b\u5b50\u8bf7\u770b[rasa_chatbot_cn](https://github.com/GaoQ1/rasa_chatbot_cn)\n\n\n",
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