sheng-z/stog
AMR Parsing as Sequence-to-Graph Transduction
This project helps Natural Language Processing (NLP) researchers and computational linguists convert English sentences into Abstract Meaning Representations (AMR). It takes raw text as input and outputs a graph that shows the semantic meaning of the sentence, including who did what to whom. This is useful for researchers who need to analyze sentence meaning in a structured, machine-readable format.
156 stars. No commits in the last 6 months.
Use this if you are an NLP researcher working with Abstract Meaning Representations and need to automatically parse English sentences into AMR graphs.
Not ideal if you are looking for a general-purpose natural language understanding tool for end-user applications or if you don't have access to specialized datasets like AMR 2.0.
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156
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36
Language
Python
License
MIT
Category
Last pushed
Jul 25, 2024
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