Elzawawy/DeftEval
Official Contribution for DeftEval 2020, Task 6 Subtask 1 from SemEval 2020 Competition. Solving NLP problem of "extracting term-definition pairs in free text" in multiple approaches ranging from highly simple till very complex modern ones.
This project helps educators, technical writers, or content creators automatically identify and extract key terms and their corresponding definitions from educational texts or specialized documents. By feeding in raw text, it pinpoints sentences containing definitions and then extracts the specific term-definition pairs, helping to build glossaries, improve e-learning materials, or enhance knowledge bases. It's designed for anyone needing to systematically organize or present domain-specific terminology.
No commits in the last 6 months.
Use this if you need to automatically generate glossaries, build terminological databases, or create structured knowledge from unstructured text.
Not ideal if you are looking for a general-purpose natural language understanding tool beyond definition extraction or if your text is highly informal.
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10
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Language
Jupyter Notebook
License
MIT
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Last pushed
Aug 31, 2020
Commits (30d)
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