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loadfive avatar

loadfive/Knwl.js

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Knwl.js

Knwl.js is a JavaScript named entity recognition library and rule-based text parser. It serves as an extensible information extraction tool designed to identify and pull structured entities, such as dates, times, and locations, from unstructured text strings.

The library allows for the definition of specialized rules and custom plugins to identify and extract unique pieces of information. This extensibility enables the automation of information retrieval by converting human-readable text into structured formats for applications and databases.

The system utilizes regular expression matching and rule-based extraction to process raw blocks of text. Modular entity resolvers handle the transformation of matched text segments into standardized formats.

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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.
5,260 stars·212 forks·JavaScript·MIT·21 views

Star history

Star history chart for loadfive/knwl.jsStar history chart for loadfive/knwl.js

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Frequently asked questions

What does loadfive/knwl.js do?

Knwl.js is a JavaScript named entity recognition library and rule-based text parser. It serves as an extensible information extraction tool designed to identify and pull structured entities, such as dates, times, and locations, from unstructured text strings.

What are the main features of loadfive/knwl.js?

The main features of loadfive/knwl.js are: Rule-Based Text Parsers, Entity and Relation Extraction, Named Entity Recognition, Natural Language Processing, Information Extraction, Unstructured Text Processing, Core Capability Extensions, Parsing Pipeline Plugins.

Which projects share features with loadfive/knwl.js?

Projects with overlapping indexed features include: facebook/duckling — Duckling is a deterministic named entity recognizer and natural language entity extractor. It transforms unstructured… spencermountain/compromise — Compromise is a natural language processing library and rule-based text parser designed to analyze unstructured text.… stanfordnlp/stanza — Stanza is a Python natural language processing library designed for tokenization, lemmatization, and dependency… stanfordnlp/corenlp — CoreNLP is a Java natural language processing library designed to convert raw human language text into structured… ownthink/knowledgegraphdata — KnowledgeGraphData is a collection of structured datasets and corpora designed to provide a foundational layer for… axa-group/nlp.js — nlp.js is a JavaScript natural language processing library and development framework used to build natural language…

Projects sharing features with Knwl.js

These projects share indexed features with Knwl.js. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • facebook/ducklingfacebook avatar

    facebook/duckling

    4,292View on GitHub↗

    Duckling is a deterministic named entity recognizer and natural language entity extractor. It transforms unstructured text into machine-readable data by mapping language-specific input strings to universal structured formats. The system utilizes a rule-based engine and composable language rules to resolve entities without relying on probabilistic models. It supports multilingual text parsing across various regional locales, employing a logic-driven approach to normalize diverse natural language expressions into standardized numeric values. The project covers the extraction and normalization

    Haskell
    View on GitHub↗4,292
  • spencermountain/compromisespencermountain avatar

    spencermountain/compromise

    12,125View on GitHub↗

    Compromise is a natural language processing library and rule-based text parser designed to analyze unstructured text. It functions as a toolkit for identifying parts of speech, linguistic patterns, and semantic meaning, while providing specialized engines for named entity recognition and the parsing of temporal and numeric data. The project is distinguished by its linguistic morphological engine, which can conjugate verbs across different tenses and inflect nouns and adjectives. It further allows for linguistic model customization through a plugin system that enables the extension of lexicons

    JavaScriptnamed-entity-recognitionnlppart-of-speech
    View on GitHub↗12,125
  • stanfordnlp/corenlpstanfordnlp avatar

    stanfordnlp/CoreNLP

    10,085View on GitHub↗

    CoreNLP is a Java natural language processing library designed to convert raw human language text into structured data. It utilizes a suite of linguistic annotators to analyze text through a pipeline, extracting grammatical structures, sentiment, and linguistic patterns. The project includes a coreference resolution engine that links multiple mentions of the same entity to maintain contextual consistency across documents. It also provides tools for named entity recognition to categorize people, companies, and locations, and a part-of-speech tagger to assign grammatical categories and base for

    Java
    View on GitHub↗10,085
  • stanfordnlp/stanzastanfordnlp avatar

    stanfordnlp/stanza

    7,809View on GitHub↗

    Stanza is a Python natural language processing library designed for tokenization, lemmatization, and dependency parsing across many human languages using neural models. It provides a neural processing pipeline that converts raw text into structured linguistic data objects, alongside a specialized analyzer for extracting medical insights from clinical and biomedical language. The project includes a wrapper that connects Python scripts to Java-based natural language processing tools and remote annotation servers. This enables a bridge for extracting linguistic annotations and analysis data from

    Pythonartificial-intelligencecorenlpdeep-learning
    View on GitHub↗7,809
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