thunlp/MultiRD
Code and data of the AAAI-20 paper "Multi-channel Reverse Dictionary Model"
This project helps language researchers and computational linguists explore the relationship between word definitions and the words themselves. It takes a definition or description of a word as input and attempts to predict the most likely target word. The primary users are researchers working on natural language understanding and lexical semantics.
111 stars. No commits in the last 6 months.
Use this if you are a computational linguist or NLP researcher interested in reverse dictionary tasks, especially for English or Chinese, and want to experiment with different linguistic features like morphemes, sememes, or word categories.
Not ideal if you are looking for a ready-to-use application for everyday content creation or a tool to learn vocabulary, as this project is research-focused and requires technical setup.
Stars
111
Forks
24
Language
Python
License
MIT
Category
Last pushed
Oct 06, 2020
Commits (30d)
0
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