Concept information
Preferred term
Information Extraction
Type
-
Named individual
-
Operation
Definition
- The goal of information extraction (IE) is to build systems that find and link relevant information from natural language text ignoring irrelevant information. The information of interest is typically pre-specified in form of uninstantiated frame-like structures also called templates. The templates are domain and task specific. The major task of an IE-system is then the identification of the relevant parts of the text which are used to fill a template's slots.
Broader concept
Narrower concepts
- Age-bracket detection
- Author classification
- Automatic hyperlinking
- Bot detection
- Computational argumentation
- Contradiction detection
- Emotion labelling
- Emotion recognition
- Entity mention labelling
- Entity mention recognition
- Event detection
- Extraction of domain-specific information
- Extraction of quantitative information
- Fact checking
- Fake news detection
- Frame extraction
- Gender detection
- Hate speech recognition
- Humour detection
- Irony detection
- Keyword extraction
- Language detection
- Multimedia Information Extraction
- Negation detection
- Persuasive expression mining
- Polarity detection
- Question Answering
- Recognizing Textual Entailment
- Relation Extraction
- Representation of space and time
- Rumours stance classification
- Semantic reasoning
- Speech Retrieval
- Stance detection
- Table question answering
- Temporal expressions recognition
- Term extraction
- Text analysis
- Truth labelling
- Verbal aggression analysis
Entry terms
- IE & Text Analysis
- Information Discovery
- Information Retrieval
Belongs to group
URI
http://w3id.org/meta-share/omtd-share/InformationExtraction
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Description