[{"title":"( 29 个子文件 1.85MB ) text-summarization:提取与抽象文本摘要方法","children":[{"title":"text-summarization-master","children":[{"title":"testing.ipynb <span style='color:#111;'> 11.03KB </span>","children":null,"spread":false},{"title":"EmbeddingAttempt4.ipynb <span style='color:#111;'> 12.90KB </span>","children":null,"spread":false},{"title":"embeddingNotebook.ipynb <span style='color:#111;'> 47.68KB </span>","children":null,"spread":false},{"title":"p5.png <span style='color:#111;'> 24.29KB </span>","children":null,"spread":false},{"title":"p6.png <span style='color:#111;'> 12.68KB </span>","children":null,"spread":false},{"title":"tokenize_recipes.py <span style='color:#111;'> 1.98KB </span>","children":null,"spread":false},{"title":"MICHELLEZHAO_CS141_finalreport.pdf <span style='color:#111;'> 400.54KB </span>","children":null,"spread":false},{"title":"Reduction.ipynb <span style='color:#111;'> 14.92KB </span>","children":null,"spread":false},{"title":"TrainAttempt4.ipynb <span style='color:#111;'> 75.81KB </span>","children":null,"spread":false},{"title":"cs141_final_poster_toSize.pptx <span style='color:#111;'> 313.46KB </span>","children":null,"spread":false},{"title":"Extractive vs. Abstractive Text Summarization.pdf <span style='color:#111;'> 272.29KB </span>","children":null,"spread":false},{"title":"p1.png <span style='color:#111;'> 51.62KB </span>","children":null,"spread":false},{"title":"trainNotebook.ipynb <span style='color:#111;'> 79.76KB </span>","children":null,"spread":false},{"title":"p2.png <span style='color:#111;'> 48.44KB </span>","children":null,"spread":false},{"title":"algo1.png <span style='color:#111;'> 150.71KB </span>","children":null,"spread":false},{"title":"_config.yml <span style='color:#111;'> 32B </span>","children":null,"spread":false},{"title":"p4.png <span style='color:#111;'> 140.00KB </span>","children":null,"spread":false},{"title":"simpler.ipynb <span style='color:#111;'> 10.58KB </span>","children":null,"spread":false},{"title":"train2.ipynb <span style='color:#111;'> 17.38KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 19.49KB </span>","children":null,"spread":false},{"title":"simpleTrain.ipynb <span style='color:#111;'> 1.70MB </span>","children":null,"spread":false},{"title":"p3.png <span style='color:#111;'> 466.03KB </span>","children":null,"spread":false},{"title":"train3.ipynb <span style='color:#111;'> 72B </span>","children":null,"spread":false},{"title":"embedding2.ipynb <span style='color:#111;'> 14.93KB </span>","children":null,"spread":false},{"title":"train.ipynb <span style='color:#111;'> 82.61KB </span>","children":null,"spread":false},{"title":"train_seq2seq.py <span style='color:#111;'> 4.67KB </span>","children":null,"spread":false},{"title":"stopWords.txt <span style='color:#111;'> 3.50KB </span>","children":null,"spread":false},{"title":"predict.py <span style='color:#111;'> 4.10KB </span>","children":null,"spread":false},{"title":"p7.png <span style='color:#111;'> 10.24KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]