hankcs--hanlp
wehub-resource-sync
48 行
1.0 KiB
Markdown
48 行
1.0 KiB
Markdown
---
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jupytext:
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formats: ipynb,md:myst
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text_representation:
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extension: .md
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format_name: myst
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format_version: '0.8'
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jupytext_version: 1.4.2
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kernelspec:
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display_name: Python 3
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language: python
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name: python3
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---
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# amr
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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).
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Before loading an AMR model, make sure to install HanLP with the `amr` dependencies:
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```shell
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pip install hanlp[amr] -U
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```
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To parse a raw sentence into AMR:
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```{eval-rst}
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.. margin:: Batching is Faster
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.. Hint:: Parse multiple sentences at once for faster speed!
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```
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```{code-cell} ipython3
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:tags: [output_scroll]
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import hanlp
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amr_parser = hanlp.load(hanlp.pretrained.amr.AMR3_SEQ2SEQ_BART_LARGE)
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amr = amr_parser('The boy wants the girl to believe him.')
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print(amr)
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```
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All the pre-trained parsers and their scores are listed below.
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```{eval-rst}
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.. automodule:: hanlp.pretrained.amr
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:members:
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``` |