print(scores) 3. 使用ROUGE-1.5.5工具 ROUGE-1.5.5工具是一个命令行工具,可以用来计算ROUGE指标。 python rouge-1.5.5/ROUGE-1.5.5.py -e data/reference -c data/hypothesis -a -n 2 4. 使用其他工具 除了以上方法,还有其他一些工具可以用来计算ROUGE指标,例如: ROUGE-Eval:https://github.com/huggingfac...
除了以上方法,还有其他一些工具可以用来计算ROUGE指标,例如: ROUGE-Eval:https://github.com/huggingface/transformers/tree/main/src/transformers/models/bart/tests/test_rouge ROUGE-Score:https://github.com/google-research/google-research/tree/master/rouge 选择方法 选择哪种方法取决于你的需求和环境。 如果只...
self.setImgToEvalImgs(scores, imgIds, method)print"%s: %0.3f"%(method, score) self.setEvalImgs() 開發者ID:InnerPeace-Wu,項目名稱:densecap-tensorflow,代碼行數:47,代碼來源:eval.py 示例10: main ▲點讚 4▼ # 需要導入模塊: from rouge import rouge [as 別名]# 或者: from rouge.rouge im...
Files master bin rouge __init__.py rouge.py rouge_score.py tests .gitignore LICENSE MANIFEST.in README.md setup.py
["The capital of Japan, Tokyo, is the center of Japanese economy."]]] # initialize setting of ROUGE to eval ROUGE-1, 2, SU4 # if you evaluate ROUGE by sentence list as above, set summary_file_exist=False # if recall_only=True, you can get recall scores of ROUGE rouge = Python...
final_scores[method] = scorereturnfinal_scores 开发者ID:xiadingZ,项目名称:video-caption-openNMT.pytorch,代码行数:19,代码来源:cocoeval.py 示例2: calc_scores ▲点赞 6▼ # 需要导入模块: from pycocoevalcap.rouge import rouge [as 别名]# 或者: from pycocoevalcap.rouge.rouge importRouge[as 别...
1.使用步长为4的梯度累积可以有效地增加批处理大小，同时保持内存需求不变。1.将训练示例的数量增加到...
For the next summarization task, repeat from point 2. Finally, finish by closing the XML tag with</ROUGE_EVAL> How to format my model/ peer summaries? The format that I use, is usually html. I am not sure if other formats are supported.The same format is used for both your reference...
python eval_pyrouge.py: 1 ROUGE-1 Average_R: 0.45455 (95%-conf.int. 0.45455 - 0.45455) 1 ROUGE-1 Average_P: 0.45455 (95%-conf.int. 0.45455 - 0.45455) 1 ROUGE-1 Average_F: 0.45455 (95%-conf.int. 0.45455 - 0.45455) --- 1 ROUGE-2 Average_R: 0.20000 (95%-conf.int. 0.20000...
# ROUGEeval-1.4.1.pl fixes this by add a clip function to prevent # double counting. # 1.4 # (1) Remove internal Jackknifing procedure: # Now the ROUGE script will use all the references listed in the # <MODEL></MODEL> section in each <EVAL></EVAL> section and no # automatic Ja...