morningmoni/HiLAP
Code for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019
HiLAP helps classify text documents into categories that are organized in a hierarchy, like a family tree of topics. You input your collection of documents, and it smartly assigns each document to the most appropriate, specific categories within your predefined hierarchy. This is ideal for data scientists, NLP engineers, or researchers who need to organize large volumes of text data.
138 stars. No commits in the last 6 months.
Use this if you need to classify documents into a nested or hierarchical set of categories and want a system that makes consistent decisions about where to place a document in that structure.
Not ideal if your classification categories are flat (not hierarchical) or if you are looking for a pre-trained model on specific public datasets, as you will need to prepare your own data.
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Jul 14, 2021
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