tlkh/paraphrase-metrics
ACL 2022 paper "Towards Better Characterization of Paraphrases"
Jupyter NotebookMIT
Issues
- 0
datasets-2.2.1-py3-none-any.whl: 7 vulnerabilities (highest severity is: 9.8)
#9 opened by mend-bolt-for-github - 0
spacy_transformers-1.1.5-py2.py3-none-any.whl: 6 vulnerabilities (highest severity is: 9.8)
#8 opened by mend-bolt-for-github - 0
nltk-3.7-py3-none-any.whl: 2 vulnerabilities (highest severity is: 6.1)
#10 opened by mend-bolt-for-github - 0
streamlit-1.9.0-py2.py3-none-any.whl: 2 vulnerabilities (highest severity is: 7.5)
#7 opened by mend-bolt-for-github - 0
lxml-4.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl: 1 vulnerabilities (highest severity is: 7.5)
#4 opened by mend-bolt-for-github - 0
paraphrase_metrics-0.0.1-py3-none-any.whl: 3 vulnerabilities (highest severity is: 9.8)
#5 opened by mend-bolt-for-github - 0
spacy-3.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl: 1 vulnerabilities (highest severity is: 5.3)
#6 opened by mend-bolt-for-github - 0
matplotlib-3.5.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl: 1 vulnerabilities (highest severity is: 9.8)
#2 opened by mend-bolt-for-github - 0
ipywidgets-7.7.0-py2.py3-none-any.whl: 1 vulnerabilities (highest severity is: 4.3)
#3 opened by mend-bolt-for-github