这种方法使 BERTScore 即使在使用不同单词表达相同意思时也能捕捉到语义等同性,从而使其在评估现代文本生成系统时比词性匹配指标更稳健。 用Python实现 让我们逐步实现 BERTScore,以了解它在实践中是如何工作的。 1. 设置和安装 首先,安装必要的软件包: # Install the bert-score package pip install bert-score 2...
這種方法使 BERTScore 即使在使用不同單詞表達相同意思時也能捕捉到語義等同性,從而使其在評估現代文字生成系統時比詞性匹配指標更穩健。 用Python實現 讓我們逐步實現 BERTScore,以瞭解它在實踐中是如何工作的。 1. 設定和安裝 首先,安裝必要的軟體包: # Install the bert-score package pip install bert-score ...
This example shows how CodeBERTScore can compute the similarity between the Python expressionsx ** 0.5andmath.sqrt(x), which are functionally equivalent, even though they have very few overlapping tokens. Usage import code_bert_score pred_results = code_bert_score.score(cands=predictions, refs=...
We provide a command line interface (CLI) of BERTScore as well as a python module. For the CLI, you can use it as follows: To evaluate English text files: We provide example inputs under ./example. bert-score -r example/refs.txt -c example/hyps.txt --lang en You will get the ...
We provide a command line interface (CLI) of BERTScore as well as a python module. For the CLI, you can use it as follows: To evaluate English text files: We provide example inputs under./example. bert-score -r example/refs.txt -c example/hyps.txt --lang en ...
We provide a command line interface(CLI) of BERTScore as well as a python module. For the CLI, you can use it as follows: 1. To evaluate English text files: ```sh bert-score -r refs.txt -c hyps.txt --bert bert-base-uncased ``` 2. To evaluate Chinese text files: ```sh ...
This plugin has been tested on Linux (Ubuntu) and Windows with MuseScore 3.2.3. It should work fine on MacOSX as well, or any other OS with Python 3. It is work in progress, usable and perfectible, suggestions and help are welcome (see Roadmap)....
Running Example The following code supports 6 discourse metrics. Please refer to Appendix A.1 in the paper for the details of these metrics. Note that if system and reference texts do not contain coherence phenomena (e.g., no word repetition), then the discourse metrics would return 0. ...
I wanted to know am i following the correct method to calculate the score based on above python code. When i type nonsense , expectation is to have no answer or if any answer with very low score. In our case the score is 0.7 which is high. How do we handle such case specially for...
This example shows how CodeBERTScore can compute the similarity between the Python expressionsx ** 0.5andmath.sqrt(x), which are functionally equivalent, even though they have very few overlapping tokens. Usage import code_bert_score pred_results = code_bert_score.score(cands=predictions, refs=...