lil-lab/amr
Cornell AMR Semantic Parser (Artzi et al., EMNLP 2015)
This tool helps researchers in natural language processing (NLP) convert plain English sentences into a structured, machine-readable format called Abstract Meaning Representation (AMR). You provide a list of sentences, and it outputs their corresponding AMR graphs, which capture the semantic meaning. This is ideal for computational linguists or NLP researchers working on understanding and representing language meaning.
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Use this if you need to transform natural language text into a structured semantic representation for analysis or further processing.
Not ideal if you are looking for a simple keyword extraction or sentiment analysis tool, as AMR parsing is a more complex task focused on deep semantic understanding.
Stars
24
Forks
10
Language
Java
License
GPL-2.0
Category
Last pushed
Apr 13, 2020
Commits (30d)
0
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