西安交通大学Natural LanguageProcessingwithDeepLearningXIANHAOTONGUNIVERSITYIntroduction ofInformationExtraction交通大学Chen Li2023
Chen Li 2023 Introduction of Information Extraction Natural Language Processing with Deep Learning
Outline1.Introduction2.Solution Framework3. Deep learning Method5.Classical models6. Tools and data7.Frontier Research
1. Introduction 2. Solution Framework 3. Deep learning Method 5. Classical models 6. Tools and data 7. Frontier Research Outline
Outline1.Introduction2. Solution Framework3. Deep learning Method5.Classical models6. Tools and data7. Frontier Research
1. Introduction 2. Solution Framework 3. Deep learning Method 5. Classical models 6. Tools and data 7. Frontier Research Outline
IntroductionInformationExtractionInformation extraction (IE)systems.Find and understand limited relevantparts oftexts.Gatherinformation from many pieces oftext.Produce a structured representation of relevant information: relations (in the database sense), a.k.a.aknowledgebase麦道大学
• Information extraction (IE) systems • Find and understand limited relevant parts of texts • Gather information from many pieces of text • Produce a structured representation of relevant information: • relations (in the database sense), a.k.a., • a knowledge base l Information Extraction Introduction
IntroductionInformationExtractionInformation extraction (IE)systems.Find and understand limited relevant parts of texts. Gather information from many pieces of text.Produce a structured representation of relevant informationrelations (in the database sense), a.k.a..·a knowledge base交通大学: Goals:Organize information so that it is useful to people12.Put information ina semantically preciseform that allowsfurther inferences to be madeby computeralgorithms
• Information extraction (IE) systems • Find and understand limited relevant parts of texts • Gather information from many pieces of text • Produce a structured representation of relevant information: • relations (in the database sense), a.k.a., • a knowledge base • Goals: 1. Organize information so that it is useful to people 2. Put information in a semantically precise form that allows further inferences to be made by computer algorithms l Information Extraction Introduction