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GitLab.com / malik.zohaib90 / nlp-on-legal-datasets
Performance Comparison of S-O-T-A, Transformer Based Language Models, like BERT & XLNet in Legal domain. Studying impacts of additional (domain-specific) pre-training on BERT in Legal domain. Exploring impacts of Introducing Legal Vocabulary in BERT.
Stars: 0
Forks: 1
Open Issues: 0
License: None
Language:
Dependencies:
195
Created: over 4 years ago
Updated: over 3 years ago
Last synced: over 1 year ago
Topics: HuggingFace, NLP, deeplearning, law, lms, python, transformer
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Dependencies
- gitpython ==3.0.2
- psutil ==5.6.6
- scipy ==1.3.1
- tensorboard >=1.14.0
- tensorboardX ==1.8
- transformers *
- CacheControl ==0.12.6
- Jinja2 ==2.11.2
- MarkupSafe ==1.1.1
- Pillow ==7.2.0
- PyYAML ==5.3.1
- Pygments ==2.6.1
- QtPy ==1.9.0
- Send2Trash ==1.5.0
- appdirs ==1.4.3
- argon2-cffi ==20.1.0
- async-generator ==1.10
- attrs ==20.2.0
- backcall ==0.2.0
- bleach ==3.1.5
- certifi ==2020.6.20
- cffi ==1.14.2
- chardet ==3.0.4
- click ==7.1.2
- colorama ==0.4.3
- contextlib2 ==0.6.0
- cycler ==0.10.0
- datasets ==1.0.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- dill ==0.3.2
- distlib ==0.3.0
- distro ==1.4.0
- entrypoints ==0.3
- filelock ==3.0.12
- future ==0.18.2
- html5lib ==1.0.1
- idna ==2.8
- ipaddr ==2.2.0
- ipykernel ==5.3.4
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- ipython-genutils ==0.2.0
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- jedi ==0.17.2
- joblib ==0.16.0
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- jupyter-core ==4.6.3
- jupyterlab-pygments ==0.1.1
- kiwisolver ==1.2.0
- lockfile ==0.12.2
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- mistune ==0.8.4
- msgpack ==0.6.2
- nbclient ==0.5.0
- nbconvert ==6.0.1
- nbformat ==5.0.7
- nest-asyncio ==1.4.0
- notebook ==6.1.4
- numpy ==1.19.2
- opencv-python ==4.4.0.42
- packaging ==20.3
- pandas ==1.1.2
- pandocfilters ==1.4.2
- parso ==0.7.1
- pep517 ==0.8.2
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- progress ==1.5
- prometheus-client ==0.8.0
- prompt-toolkit ==3.0.7
- ptyprocess ==0.6.0
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- pyarrow ==1.0.1
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- pyparsing ==2.4.6
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- pytoml ==0.1.21
- pytz ==2020.1
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- qtconsole ==4.7.7
- regex ==2020.7.14
- requests ==2.22.0
- retrying ==1.3.3
- sacremoses ==0.0.43
- sentencepiece ==0.1.91
- six ==1.14.0
- terminado ==0.8.3
- testpath ==0.4.4
- tokenizers ==0.8.1rc2
- torch ==1.6.0
- torchvision ==0.7.0
- tornado ==6.0.4
- tqdm ==4.48.2
- traitlets *
- urllib3 ==1.25.8
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- xxhash ==2.0.0
- h5py >=2.10.0
- knockknock >=0.1.8.1
- numpy >=1.18.2
- scipy >=1.4.1
- torch >=1.4.0
- conllu *
- datasets *
- elasticsearch *
- faiss-cpu *
- fire *
- git-python ==1.0.3
- matplotlib *
- nltk *
- pandas *
- psutil *
- pytest *
- pytorch-lightning ==0.8.5
- rouge-score *
- sacrebleu *
- scikit-learn *
- seqeval *
- streamlit *
- tensorboard *
- tensorflow_datasets *
- nltk *
- py-rouge *
- transformers *
- dataclasses *
- filelock *
- filesystem *
- for *
- numpy *
- packaging *
- progress *
- regex *
- requests *
- sacremoses *
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- gitpython ==3.0.2
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- tensorboard >=1.14.0
- tensorboardX ==1.8
- transformers *
- h5py >=2.10.0
- knockknock >=0.1.8.1
- numpy >=1.18.2
- scipy >=1.4.1
- torch >=1.4.0
- conllu *
- elasticsearch *
- faiss *
- fire *
- git-python ==1.0.3
- matplotlib *
- nlp *
- pandas *
- psutil *
- pytest *
- pytorch-lightning ==0.8.5
- rouge-score *
- sacrebleu *
- scikit-learn *
- seqeval *
- streamlit *
- tensorboard *
- tensorflow_datasets *
- nltk *
- py-rouge *
- transformers *
- dataclasses *
- filelock *
- filesystem *
- for *
- numpy *
- packaging *
- progress *
- regex *
- requests *
- sacremoses *
- sentencepiece *
- tokenizers *
- tqdm *
- utilities *