hankcs--hanlp/docs/api/hanlp/pretrained/amr.md

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amr

AMR captures “who is doing what to whom” in a sentence. Each sentence is represented as a rooted, directed, acyclic graph with labels on edges (relations) and leaves (concepts). Before loading an AMR model, make sure to install HanLP with the amr dependencies:

pip install hanlp[amr] -U

To parse a raw sentence into AMR:

.. margin:: Batching is Faster

    .. Hint:: Parse multiple sentences at once for faster speed! 

:tags: [output_scroll]
import hanlp

amr_parser = hanlp.load(hanlp.pretrained.amr.AMR3_SEQ2SEQ_BART_LARGE)
amr = amr_parser('The boy wants the girl to believe him.')
print(amr)

All the pre-trained parsers and their scores are listed below.

.. automodule:: hanlp.pretrained.amr
    :members: