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Project: Pointer-Generator (GitHub Link)

• Pointer-Generator-master
  • util_common
    • nlp
      • rouge_calculated.py
      • list.py
      • japanese_parsing.py
      • __pycache__
        • word_dictionary.cpython-37.pyc
        • os.cpython-37.pyc
        • pos.cpython-37.pyc
        • word_flag.cpython-36.pyc
        • word_dictionary.cpython-36.pyc
        • word_token.cpython-37.pyc
        • sentence_token.cpython-36.pyc
        • list.cpython-36.pyc
        • rouge_calculated.cpython-36.pyc
        • os.cpython-36.pyc
        • japanese_parsing.cpython-36.pyc
        • pos.cpython-36.pyc
        • word_token.cpython-36.pyc
        • japanese_pos.cpython-36.pyc
      • word_dictionary.py
      • sentence_token.py
      • os.py
      • pos.py
      • Sumy
        • nlp
          • __pycache__
            • __init__.cpython-36.pyc
            • tokenizers.cpython-36.pyc
          • __init__.py
          • stemmers
            • __pycache__
              • __init__.cpython-36.pyc
              • czech.cpython-36.pyc
            • __init__.py
            • czech.py
          • tokenizers.py
        • parsers
          • __pycache__
            • parser.cpython-36.pyc
            • __init__.cpython-36.pyc
            • html.cpython-36.pyc
            • plaintext.cpython-36.pyc
          • html.py
          • plaintext.py
          • __init__.py
          • parser.py
        • __pycache__
          • _compat.cpython-36.pyc
          • __init__.cpython-36.pyc
          • utils.cpython-36.pyc
          • __main__.cpython-36.pyc
        • models
          • dom
            • __pycache__
              • _document.cpython-36.pyc
              • __init__.cpython-36.pyc
              • _sentence.cpython-36.pyc
              • _paragraph.cpython-36.pyc
            • _sentence.py
            • _document.py
            • __init__.py
            • _paragraph.py
          • __pycache__
            • tf.cpython-36.pyc
            • __init__.cpython-36.pyc
          • __init__.py
          • tf.py
        • evaluation
          • __pycache__
            • rouge.cpython-36.pyc
            • __init__.cpython-36.pyc
            • coselection.cpython-36.pyc
            • __main__.cpython-36.pyc
            • content_based.cpython-36.pyc
          • content_based.py
          • rouge.py
          • __main__.py
          • __init__.py
          • coselection.py
        • data
          • stopwords
            • slovak.txt
            • german.txt
            • chinese.txt
            • spanish.txt
            • english.txt
            • czech.txt
            • french.txt
            • portuguese.txt
            • japanese.txt
        • __main__.py
        • _compat.py
        • __init__.py
        • utils.py
        • summarizers
          • lsa.py
          • __pycache__
            • _summarizer.cpython-36.pyc
            • text_rank.cpython-36.pyc
            • edmundson.cpython-36.pyc
            • kl.cpython-36.pyc
            • __init__.cpython-36.pyc
            • random.cpython-36.pyc
            • edmundson_cue.cpython-36.pyc
            • lsa.cpython-36.pyc
            • edmundson_title.cpython-36.pyc
            • lex_rank.cpython-36.pyc
            • edmundson_key.cpython-36.pyc
            • edmundson_location.cpython-36.pyc
            • submodular.cpython-36.pyc
            • luhn.cpython-36.pyc
            • sum_basic.cpython-36.pyc
          • random.py
          • text_rank.py
          • edmundson_location.py
          • lex_rank.py
          • luhn.py
          • __init__.py
          • edmundson_cue.py
          • sum_basic.py
          • edmundson_title.py
          • edmundson_key.py
          • _summarizer.py
          • edmundson.py
          • submodular.py
          • kl.py
        • similarity
          • __pycache__
            • __init__.cpython-36.pyc
            • cosine_sim.cpython-36.pyc
          • cosine_sim.py
          • __init__.pyc
          • cosine_sim.pyc
          • __init__.py
      • word_token.py
      • word_flag.py
      • rouge
        • rouge_score.py
        • __pycache__
          • rouge.cpython-36.pyc
          • __init__.cpython-36.pyc
          • rouge_score.cpython-36.pyc
        • rouge.py
        • __init__.py
    • mongo
      • __pycache__
        • nlp.cpython-37.pyc
        • nlp.cpython-36.pyc
      • nlp.py
  • LICENSE
  • lib
    • dataset
      • __pycache__
        • generator.cpython-37.pyc
        • generator.cpython-36.pyc
      • generator.py
    • util
      • __pycache__
        • processing.cpython-37.pyc
        • processing.cpython-36.pyc
      • processing.py
    • model
      • learning_attention.py
      • decoder.py
      • __pycache__
        • learning_attention.cpython-37.pyc
        • decoder.cpython-37.pyc
        • attention.cpython-36.pyc
        • encoder.cpython-37.pyc
        • learning_attention.cpython-36.pyc
        • decoder.cpython-36.pyc
        • encoder.cpython-36.pyc
      • encoder.py
  • .gitattributes
  • configure
  • data_example
    • 2.txt
    • 1.txt
  • main.py
  • README.md

Point to Generator

Only for tutorial. Using pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks

Enabled

1. Point Network
2. Coverage

Disabled

1. UNK

Required

python 3.5+ (anaconda)
pytorch

Train

python main.py

e.g.
Epoch [2/10000], Step [0/1], Loss: 548.0956, Coverage Loss: 2.000000
Test Accuracy of the model on the test: 1.0 %

Examples

近期，联想投票门事件成为舆论焦点日，联想控股董事长联想集团创始人柳传志两次针对此事件表态，称这是真正有策划有布置，动机极为恶劣的阴谋与此同时，更多的民营企业家也站出来

License

MIT © Sohone Guo