hankcs--hanlp
wehub-resource-sync
38 行
931 B
Markdown
38 行
931 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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# sts
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`sts` package holds pre-trained Semantic Textual Similarity (STS) models. We surveyed both supervised and unsupervised
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models and we believe that unsupervised models are still immature at this moment. Unsupervised STS is good for IR but
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not NLP especially on sentences with little lexical overlap.
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```{eval-rst}
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.. automodule:: hanlp.pretrained.sts
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:members:
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```
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```{code-cell} ipython3
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import hanlp
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sim = hanlp.load(hanlp.pretrained.sts.STS_ELECTRA_BASE_ZH)
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sim([
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['看图猜一电影名', '看图猜电影'],
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['无线路由器怎么无线上网', '无线上网卡和无线路由器怎么用'],
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['北京到上海的动车票', '上海到北京的动车票'],
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])
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``` |