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GitHub / freelancer-raj / hhm_extractor
Script to extract Hypernymy relations in a text corpus, using Wordnet and Sensegram
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/freelancer-raj%2Fhhm_extractor
Stars: 0
Forks: 0
Open Issues: 17
License: None
Language: Jupyter Notebook
Repo Size: 8.3 MB
Dependencies:
142
Created: almost 4 years ago
Updated: almost 4 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
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Dependencies
requirements.txt
pypi
- Cython ==0.29.20
- Jinja2 ==2.11.2
- MarkupSafe ==1.1.1
- Pygments ==2.6.1
- QtPy ==1.9.0
- Send2Trash ==1.5.0
- appnope ==0.1.0
- args ==0.1.0
- attrs ==19.3.0
- backcall ==0.2.0
- bidict ==0.19.0
- bleach ==3.1.5
- blis ==0.4.1
- boto ==2.49.0
- boto3 ==1.14.13
- botocore ==1.17.13
- catalogue ==1.0.0
- certifi ==2020.6.20
- chardet ==3.0.4
- chinese-whispers ==0.7.2
- clint ==0.5.1
- cymem ==2.0.3
- decorator ==4.4.2
- defusedxml ==0.6.0
- docutils ==0.15.2
- entrypoints ==0.3
- faiss-cpu ==1.6.3
- gensim ==3.8.3
- idna ==2.10
- importlib-metadata ==1.7.0
- ipykernel ==5.3.0
- ipython ==7.16.1
- ipython-genutils ==0.2.0
- ipyturtle ==0.2.4
- ipywidgets ==7.5.1
- jedi ==0.17.1
- jmespath ==0.10.0
- joblib ==0.15.1
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-client ==6.1.5
- jupyter-console ==6.1.0
- jupyter-core ==4.6.3
- mistune ==0.8.4
- murmurhash ==1.0.2
- nbconvert ==5.6.1
- nbformat ==5.0.7
- networkx ==2.4
- nltk ==3.3
- notebook ==6.0.3
- numpy ==1.19.0
- packaging ==20.4
- pandas ==1.0.5
- pandocfilters ==1.4.2
- parso ==0.7.0
- pexpect ==4.8.0
- pickleshare ==0.7.5
- plac ==1.1.3
- plotly ==4.8.2
- preshed ==3.0.2
- prometheus-client ==0.8.0
- prompt-toolkit ==3.0.5
- ptyprocess ==0.6.0
- pyparsing ==2.4.7
- pyrsistent ==0.16.0
- python-dateutil ==2.8.1
- python-igraph ==0.8.2
- pytz ==2020.1
- pyzmq ==19.0.1
- qtconsole ==4.7.5
- requests ==2.24.0
- retrying ==1.3.3
- s3transfer ==0.3.3
- scikit-learn ==0.22.1
- scipy ==1.5.0
- six ==1.15.0
- sklearn ==0.0
- smart-open ==2.0.0
- spacy ==2.3.0
- spacy-wordnet ==0.0.4
- srsly ==1.0.2
- stop-words ==2018.7.23
- terminado ==0.8.3
- testpath ==0.4.4
- texttable ==1.6.2
- thinc ==7.4.1
- threadpoolctl ==2.1.0
- tornado ==6.0.4
- tqdm ==4.47.0
- traitlets ==4.3.3
- urllib3 ==1.25.9
- wasabi ==0.7.0
- wcwidth ==0.2.5
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1
- xlrd ==1.2.0
- zipp ==3.1.0
- Cython ==0.29.20
- args ==0.1.0
- bidict ==0.19.0
- blis ==0.4.1
- boto ==2.49.0
- boto3 ==1.14.13
- botocore ==1.17.13
- catalogue ==1.0.0
- certifi ==2020.6.20
- chardet ==3.0.4
- chinese-whispers ==0.7.2
- clint ==0.5.1
- cymem ==2.0.3
- decorator ==4.4.2
- docutils ==0.15.2
- faiss-cpu ==1.6.3
- gensim ==3.8.3
- idna ==2.10
- importlib-metadata ==1.7.0
- jmespath ==0.10.0
- joblib ==0.15.1
- murmurhash ==1.0.2
- networkx ==2.4
- numpy ==1.19.0
- pandas ==1.0.5
- plac ==1.1.3
- preshed ==3.0.2
- python-dateutil ==2.8.1
- pytz ==2020.1
- requests ==2.24.0
- s3transfer ==0.3.3
- scikit-learn ==0.23.1
- scipy ==1.5.0
- six ==1.15.0
- sklearn ==0.0
- smart-open ==2.0.0
- spacy ==2.3.0
- srsly ==1.0.2
- stop-words ==2018.7.23
- thinc ==7.4.1
- threadpoolctl ==2.1.0
- tqdm ==4.47.0
- urllib3 ==1.25.9
- wasabi ==0.7.0
- zipp ==3.1.0