facebook/duckling

Features

• Entity and Relation Extraction - Provides a deterministic system for identifying and extracting named entities from unstructured text.
• Natural Language Entity Extraction - Provides a deterministic engine for extracting structured entities like dates, numbers, and currencies from natural language text.
• Custom Entity Recognizers - Allows for the definition of domain-specific entity detection rules via composable language rules and configurations.
• Multilingual Text Processors - Supports extraction of structured information across various regional locales and different languages.
• Named Entity Recognition - Identifies and classifies entities in unstructured text using predefined linguistic patterns and regular expressions.
• Natural Language Date Parsing - Parses complex natural language date and time expressions into structured machine-readable formats.
• Currency Value Extraction - Identifies currency symbols and spelled-out money amounts to extract structured financial values from text.
• Numerical Value Extraction - Converts written numerals, fractions, and quantities of weight or volume into standardized numeric values.
• Natural Language Value Normalization - Normalizes diverse natural language expressions of time, distance, and currency into standardized numeric formats.
• Rule-Based Text Parsers - Employs rule-based text parsers to tokenize and tag text based on predefined linguistic grammars.
• Text-to-Numeric Normalizers - Converts diverse natural language expressions of time and measurement into standardized numeric values.
• Document and Unstructured Extraction - Parses unstructured natural language strings into machine-readable formats.
• Date and Time Libraries - Parses natural language expressions of dates, times, and holidays into structured formats.
• Deterministic Linguistic Resolution - Employs a logic-driven, rule-based engine to resolve complex entities without relying on probabilistic models.
• Deterministic Entity Parsers - Provides a logic-driven parser that transforms natural language expressions into standardized units of measurement, currency, and time.
• Locale Resolution - Resolves the active language and locale to map input strings to universal structured formats.
• Context-Aware State Engines - Maintains internal variables and state to drive context-dependent behavior when parsing textual environments.
• Locale Mapping Rules - Maps language-specific strings to universal structured formats using locale-specific rule sets.
• Rule-Based Pattern Matching - Compares input strings against predefined linguistic and regular expression patterns to identify entities.
• Parsing Contexts - Uses runtime parsing contexts and state tracking to resolve ambiguous natural language expressions.
• Custom Entity Dimensions - Allows users to update rules and classifiers to add support for new entity types and locales.
• Contact Information Extraction - Recognizes and structures common patterns for email addresses, phone numbers, URLs, and credit card numbers.
• User-Defined Entities - Enables the creation of user-defined data types and extraction rules for domain-specific information.
• Customizable Extraction Rules - Provides customizable extraction rules using regex patterns and production functions for new locales.
• Physical Distance and Duration Extraction - Provides the ability to translate natural language descriptions of time spans and physical lengths into standardized units.
• Extraction Dimension Modules - Implements a modular architecture that organizes extraction logic into independent dimensions to resolve complex entities.
• Extraction Logic Compositions - Organizes extraction rules into independent modular dimensions that combine to resolve complex entities.
• Natural Language Expression Decomposition - Breaks down complex phrases into smaller components to resolve nested entities like durations and dates.
• Natural Language Temperature Extraction - Extracts temperature readings and intervals expressed in various scales and natural language formats.

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