loadfive/Knwl.js
Knwl.js
Knwl.js 是一个 JavaScript 命名实体识别库和基于规则的文本解析器。它作为一个可扩展的信息提取工具，旨在从非结构化文本字符串中识别并提取结构化实体，如日期、时间和地点。
该库允许定义专门的规则和自定义插件来识别和提取独特的信息片段。这种可扩展性通过将人类可读文本转换为应用程序和数据库的结构化格式，实现了信息检索的自动化。
该系统利用正则表达式匹配和基于规则的提取来处理原始文本块。模块化实体解析器处理将匹配的文本段转换为标准化格式的过程。
Features
- Rule-Based Text Parsers - Functions as a rule-based text parser that transforms unstructured strings into structured data using specific criteria.
- Entity and Relation Extraction - Identifies and extracts structured entities such as dates, phone numbers, and locations from unstructured text.
- Named Entity Recognition - Identifies and classifies entities such as dates, times, and locations within unstructured text strings.
- Natural Language Processing - Processes human-readable text and converts it into structured formats for use in applications and databases.
- Information Extraction - Serves as an extensible tool for identifying and extracting structured data from unstructured text strings.
- Unstructured Text Processing - Transforms raw blocks of unstructured text into structured data formats using JavaScript.
- Core Capability Extensions - Allows extending the fundamental operational logic of the parser via custom rule plugins.
- Parsing Pipeline Plugins - Implements a plugin-based architecture that allows custom rules to be injected into the data parsing lifecycle.
- Pattern Matching Implementations - Uses regular expression matching and capturing groups to locate entities within unstructured text.
- Custom Entity Recognizers - Supports the definition of domain-specific entity detection rules via custom plugins and regular expressions.
- Entity Format Standardizers - Provides modular resolvers to transform matched text segments into standardized date, time, and location formats.
- Natural Language Processing - JavaScript-based natural language processor for text extraction.
