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GitHub / wbsg-uni-mannheim / productCategorization
This repository contains code and data download instructions for the workshop paper "Improving Hierarchical Product Classification using Domain-specific Language Modelling" by Alexander Brinkmann and Christian Bizer.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wbsg-uni-mannheim%2FproductCategorization
Stars: 11
Forks: 2
Open Issues: 0
License: mit
Language: Python
Repo Size: 453 KB
Dependencies:
98
Created: over 3 years ago
Updated: about 1 year ago
Last pushed: about 3 years ago
Last synced: about 1 year ago
Topics: hierarchical-classification, language-modelling, product-categorization, transformer-models
Files
Dependencies
- beautifulsoup4 =4.9.3=pyhb0f4dca_0
- blas =1.0=mkl
- brotlipy =0.7.0=py38h8df0ef7_1001
- bs4 =4.9.3=0
- bzip2 =1.0.8=h7b6447c_0
- ca-certificates =2021.4.13=h06a4308_1
- certifi =2020.12.5=py38h578d9bd_1
- cffi =1.14.5=py38h261ae71_0
- chardet =4.0.0=py38h578d9bd_1
- click =7.1.2=pyh9f0ad1d_0
- cryptography =3.4.7=py38ha5dfef3_0
- cudatoolkit =10.2.89=hfd86e86_1
- decorator =4.4.2=py_0
- fasttext =0.9.2=pypi_0
- ffmpeg =4.3=hf484d3e_0
- filelock =3.0.12=pyh9f0ad1d_0
- freetype =2.10.4=h5ab3b9f_0
- gmp =6.2.1=h2531618_2
- gnutls =3.6.15=he1e5248_0
- gperftools =2.7=h767d802_2
- idna =2.10=pyh9f0ad1d_0
- intel-openmp =2021.2.0=h06a4308_610
- joblib =1.0.1=pyhd8ed1ab_0
- jpeg =9b=h024ee3a_2
- lame =3.100=h7b6447c_0
- lcms2 =2.12=h3be6417_0
- ld_impl_linux-64 =2.33.1=h53a641e_7
- libblas =3.9.0=1_h6e990d7_netlib
- libcblas =3.9.0=3_h893e4fe_netlib
- libffi =3.3=he6710b0_2
- libgcc-ng =9.1.0=hdf63c60_0
- libgfortran-ng =7.5.0=h14aa051_19
- libgfortran4 =7.5.0=h14aa051_19
- libiconv =1.15=h63c8f33_5
- libidn2 =2.3.0=h27cfd23_0
- liblapack =3.9.0=3_h893e4fe_netlib
- libpng =1.6.37=hbc83047_0
- libprotobuf =3.13.0.1=h8b12597_0
- libstdcxx-ng =9.1.0=hdf63c60_0
- libtasn1 =4.16.0=h27cfd23_0
- libtiff =4.1.0=h2733197_1
- libunistring =0.9.10=h27cfd23_0
- libuv =1.40.0=h7b6447c_0
- lz4-c =1.9.3=h2531618_0
- mkl =2021.2.0=h06a4308_296
- mkl-service =2.3.0=py38h27cfd23_1
- mkl_fft =1.3.0=py38h42c9631_2
- mkl_random =1.2.1=py38ha9443f7_2
- ncurses =6.2=he6710b0_1
- nettle =3.7.2=hbbd107a_1
- networkx =2.5.1=pyhd8ed1ab_0
- ninja =1.10.2=hff7bd54_1
- nltk =3.6.2=pyhd8ed1ab_0
- numpy =1.20.1=py38h93e21f0_0
- numpy-base =1.20.1=py38h7d8b39e_0
- olefile =0.46=py_0
- openh264 =2.1.0=hd408876_0
- openssl =1.1.1k=h27cfd23_0
- packaging =20.9=pyh44b312d_0
- pandas =1.1.3=py38he6710b0_0
- perl =5.32.0=h36c2ea0_0
- pillow =8.2.0=py38he98fc37_0
- pip =21.0.1=py38h06a4308_0
- protobuf =3.13.0.1=py38hadf7658_1
- pybind11 =2.6.2=pypi_0
- pycparser =2.20=pyh9f0ad1d_2
- pyopenssl =20.0.1=pyhd8ed1ab_0
- pyparsing =2.4.7=pyh9f0ad1d_0
- pysocks =1.7.1=py38h578d9bd_3
- python =3.8.8=hdb3f193_5
- python-dateutil =2.8.1=py_0
- python_abi =3.8=1_cp38
- pytorch =1.7.1=py3.8_cuda10.2.89_cudnn7.6.5_0
- pytz =2020.1=py_0
- readline =8.1=h27cfd23_0
- regex =2020.11.13=py38h25fe258_0
- requests =2.25.1=pyhd3deb0d_0
- sacremoses =0.0.43=pyh9f0ad1d_0
- scikit-learn =0.23.2=py38h5d63f67_3
- scipy =1.5.3=py38h828c644_0
- sentencepiece =0.1.91=py38hbf85e49_3
- setuptools =52.0.0=py38h06a4308_0
- six =1.15.0=py38h06a4308_0
- soupsieve =2.0.1=py_1
- sqlite =3.35.4=hdfb4753_0
- threadpoolctl =2.1.0=pyh5ca1d4c_0
- tk =8.6.10=hbc83047_0
- tokenizers =0.9.4=py38h781e378_1
- torchaudio =0.7.2=py38
- torchvision =0.8.2=py38_cu102
- tqdm =4.60.0=pyhd8ed1ab_0
- transformers =3.5.1=pyhd8ed1ab_0
- typing_extensions =3.7.4.3=pyha847dfd_0
- urllib3 =1.26.4=pyhd8ed1ab_0
- wheel =0.36.2=pyhd3eb1b0_0
- xz =5.2.5=h7b6447c_0
- zlib =1.2.11=h7b6447c_3
- zstd =1.4.9=haebb681_0