Зображення обкладинки

Large-Scale Pattern-Based Information Extraction from the World Wide Web

Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or appropriate...

Повний опис

Збережено в:
Автор: Blohm, Sebastian
Формат: Online
Мова:Англійська
Опубліковано: KIT Scientific Publishing 2021
Предмети:
HF5001-6182
Information Extraction
Data Mining
Pattern Induction
Web Mining
Machine Learning
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
Онлайн доступ:34410
Теги: Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
Резюме:Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or appropriate visualization. This work explores the potential of using textual patterns for Information Extraction from the World Wide Web.

Схожі ресурси