Hierarchy-Aware Global Model for Hierarchical Text Classification
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Updated
Nov 28, 2022 - Python
Hierarchy-Aware Global Model for Hierarchical Text Classification
Code for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019
PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System
[AAAI 2019] Weakly-Supervised Hierarchical Text Classification
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)
Hierarchical Metadata-Aware Document Categorization under Weak Supervision (WSDM'21)
Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
Code for the paper "Modeling Text-Label Alignment for Hierarchical Text Classification" acepted in ECML PKDD 2024
Code for the paper Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (EACL '21)
The dataset and code for the EMNLP 2022 paper "Hierarchical Multi-Label Classification of Scientific Documents" are released here.
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.
ISWC2020 Semantic Web Challenge - Product Classification Top1 Solution
Reference implementation of "Tree Methods for Hierarchical Classification in Parallel" (Heinsen, 2022) in PyTorch.
CNN for hierarchical text classification
PyEDCR is a package providing error detecting and corrective rules into Python. Given a model, PyEDCR's goal is to recognize when it is incorrect based on a set of conditions and then correct the incorrect prediction.
Implementation of Hierarchical Text Classification
H-CapsNet: A Capsule Network for Hierarchical Image Classification
This repo contains a simple hierarchy of an organization which will show that how the member structure looks in an organization.
The code of Hierarchical Multi-label Classification (HMC). It is a final course project of Natural Language Processing and Deep Learning, 2022 Fall.
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