lil-lab/spf
Cornell Semantic Parsing Framework
This framework helps computer science researchers and natural language processing practitioners translate human language into a formal, machine-understandable representation. It takes text-based instructions or questions as input and outputs structured logical forms, allowing machines to interpret and act on commands. Researchers focusing on natural language understanding would find this valuable.
131 stars. No commits in the last 6 months.
Use this if you are a researcher or advanced practitioner developing systems that need to semantically parse natural language sentences into logical forms for tasks like executing commands or querying structured databases.
Not ideal if you are looking for an off-the-shelf application to solve a specific NLP problem without delving into the underlying semantic parsing mechanisms.
Stars
131
Forks
13
Language
Java
License
GPL-2.0
Category
Last pushed
Mar 07, 2020
Commits (30d)
0
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