wehub-resource-sync
43 lines
918 B
Markdown
43 lines
918 B
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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# srl
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Semantic Role Labeling (SRL) is one shallow semantic parsing that produces predicate-argument structures which are semantic roles (or participants) such as agent, patient, and theme associated with verbs.
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Inputs to SRL are tokenized sentences:
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````{margin} Batching is Faster
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```{hint}
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Feed in multiple sentences at once for faster speed!
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```
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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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srl = hanlp.load(hanlp.pretrained.srl.CPB3_SRL_ELECTRA_SMALL)
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srl(['男孩', '希望', '女孩', '相信', '他', '。'])
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```
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All the pre-trained labelers and their details are listed below.
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```{eval-rst}
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.. automodule:: hanlp.pretrained.srl
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:members:
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``` |