Metadata-Version: 2.1
Name: yucheng_ner
Version: 0.6
Summary: Named Entities Recognition by Token Pair Linking
Home-page: https://github.com/131250208/yucheng_ner
Author: Andy Wong
Author-email: wangyucheng@iie.ac.cn
License: MIT
Description: 
        # NestedNER
        
        ## Prerequisites
        The main requirements are:
        * tqdm
        * flair
        * word2vec
        * glove-python-binary==0.2.0
        * transformers==2.10.0
        * wandb # for logging the results
        * yaml
        
        In the root directory, run
        ```bash
        pip install -e .
        ```
        ## Data Format
        ```
        {
          "id": "train_2975", 
          "text": "ll Services Plan Documents Only ( Section 125 ) Premium Offset Plan ( POP ) Wellness Plans MBTA Corporate Transit Pass Program WMATA Smar Trip Transit / Parking Program Contact Us HRC Total Solutions 111 Charles Street Manchester , New hampshire 03101 customerservice @ hrcts . com Phone : ( 603 ) 647 - 1147 Fax : ( 866 ) 978 - 7868 Follow Us Linked In You Tube Twitter Resources IIAS Participating Pharmacies IIAS 90 % Merchant List FSA Store HSA St", 
          "entity_list": [
              {"text": "111 Charles Street", "type": "detail", "char_span": [200, 218]}, 
              {"text": "Manchester", "type": "city", "char_span": [219, 229]}, 
              {"text": "New hampshire", "type": "state", "char_span": [232, 245]}, 
              {"text": "03101", "type": "zipcode", "char_span": [246, 251]},
          ]
        }
        ```
        
        ## Pretrained Model and Word Embeddings
        Download [BERT-BASE-CASED](https://huggingface.co/bert-base-cased) and put it under `../pretrained_models`. Download [word embeddings](https://pan.baidu.com/s/1HcigyVBjsShTR2OAEzj5Og) (code: 8044) and put them under `../pretrained_emb`.
        
        ## Train
        Set configuration in `tplinker_ner/train_config.yaml`. Start training:
        ```
        cd tplinker_ner
        python train.py
        ```
        
        ## Evaluation
        Set configuration in `tplinker_ner/eval_config.yaml`. Start evaluation by running `tplinker_ner/Evaluation.ipynb`
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
