VityaVitalich/TaxoLLaMA
[ACL 2024] TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks
This project helps natural language processing (NLP) researchers and computational linguists develop and evaluate models that understand word relationships. It takes text data containing words and their definitions, then helps predict hierarchical relationships like hypernyms (broader terms) and hyponyms (specific terms). The output includes structured data showing these semantic connections and model performance metrics.
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Use this if you are an NLP researcher or computational linguist working on understanding and modeling the hierarchical relationships between words in language.
Not ideal if you need a pre-built, production-ready tool for general-purpose text analysis or if you are not comfortable with Python and machine learning workflows.
Stars
19
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
May 16, 2024
Commits (30d)
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