lil-lab/nccg
Neural Shift Reduce Parser for CCG Semantic Parsing (Misra and Artzi, EMNLP 2016)
This project helps computational linguists and natural language processing researchers parse English sentences into Abstract Meaning Representation (AMR) graphs. It takes raw English text as input and produces an AMR graph, which represents the semantic meaning of the sentence. The primary users are researchers working on semantic parsing for understanding language.
No commits in the last 6 months.
Use this if you need to transform English sentences into a structured semantic representation (AMR graphs) for research or advanced language understanding tasks.
Not ideal if you're looking for a general-purpose natural language processing tool for tasks like sentiment analysis, named entity recognition, or translation without a focus on deep semantic parsing.
Stars
17
Forks
2
Language
Java
License
GPL-3.0
Category
Last pushed
Feb 21, 2017
Commits (30d)
0
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