January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
Content preview from 移动端AI与ML应用开发：基于iOS和Android
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74
第
5
章
Android 上使用 ML Kit 的文本
处理应用程序
也许机器学习中最大的两个领域是计算机视觉和自然语言处理。在第 4 章，你了解了一
些常见的计算机视觉场景，其中包含已在 ML Kit 中为你定义的模型。在本章中，你将
探索一些自然语言处理，包括如何从数字墨迹中识别文本、对信息进行智能回复以及从
文本中提取地址等实体。这些都是针对这些特定场景的现成模型。如果你想创建使用其
他自然语言处理模型（例如文本分类）的应用程序，你必须使用 TensorFlow Lite 创建你
自己的模型，然后在移动设备上实现它们。我们将在后面的章节中探讨这一点。
5.1
实体提取
当给定大量文本时，从中提取重要信息可能是一项艰巨的任务。通常遵循特定结构的信
息（例如地址）在一个国家 / 地区可能是可预测的，但在另一个国家 / 地区的工作方式却
大不相同，因此采用基于规则的方法来获取信息可能会导致大量编码。
例如，考虑图 5-1，我向我的朋友 Nizhoni 发送了一条消息，其中包含一些详细信息。作
为人类，我们可以从中提取有价值的信息，例如“明天下午 5 点”，了解这是一个日期
和时间。但是编写代码来做到这一点真的很困难。尝试编写代码来理解不同国家可以以
不同方式构造日期的格式化日期已经够难了
—
5/2 可以是 5 月 2 日或 2 月 5 日，这取
决于你住的地方
—
试图从文本中提取（比如“明天”）就更难了！虽然 ML 可能不是一
个完美的解决方案，但它确实有助于减少你需要为常见场景编写的代码量。
正如你在文本下方看到的 ...
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