Notes:
This text describes various types of extraction processes and tools. It also mentions extraction modules and extraction systems, which are components or software systems designed to perform one or more types of data or information extraction. The text also discusses processes for identifying and extracting specific types of data or information from text documents or other sources. Extractor tools and systems, including extractor modules and extractor systems, are software tools or algorithms designed to perform these types of extraction.
- Answer extraction is the process of identifying and extracting answers to specific questions from a text document or a collection of documents. An answer extractor is a software tool or algorithm designed to perform answer extraction.
- Collocation extraction is the process of identifying and extracting collocations, which are sequences of words that frequently occur together and have a meaning that is more than the sum of their individual parts. A collocation extractor is a software tool or algorithm designed to perform collocation extraction.
- Data extraction is the process of identifying and extracting data from a variety of sources, such as websites, databases, and documents. Data extractors are software tools or algorithms designed to perform data extraction.
- Dialog extraction (dialogue extraction) is the process of identifying and extracting dialogues or conversations from a text document or collection of documents. A dialog extractor is a software tool or algorithm designed to perform dialog extraction.
- Extraction module is a component of a software system that is responsible for extracting specific types of data or information from a given source.
- Extraction system is a software system that is designed to perform one or more types of data or information extraction from a variety of sources. An extraction system might include multiple extraction modules, each of which is responsible for extracting a different type of data or information.
- Extractive summarization, also known as extractive summarisation, is a method of summarizing a document or text by selecting and extracting the most important sentences or passages. An extractive summarization system is a software tool or algorithm designed to perform extractive summarization.
- Extractor module is a component of a software system that is responsible for extracting specific types of data or information from a given source.
- Extractor system is a software system that is designed to perform one or more types of data or information extraction from a variety of sources. An extractor system might include multiple extractor modules, each of which is responsible for extracting a different type of data or information.
- Information extraction is the process of identifying and extracting specific pieces of information from a variety of sources, such as websites, databases, and documents. An information extractor is a software tool or algorithm designed to perform information extraction.
- Keyphrase extraction is the process of identifying and extracting important or significant phrases from a text document or collection of documents. A keyphrase extractor is a software tool or algorithm designed to perform keyphrase extraction.
- Metaphor extraction is the process of identifying and extracting metaphors from a text document or collection of documents. A metaphor is a figure of speech in which a word or phrase is used to describe something as if it were something else, in order to suggest a comparison or analogy. A metaphor extractor is a software tool or algorithm designed to perform metaphor extraction.
- News extraction is the process of identifying and extracting news-related information from a variety of sources, such as websites, newspapers, and television broadcasts. A news extractor is a software tool or algorithm designed to perform news extraction.
- Ontology extraction is the process of identifying and extracting ontologies from a text document or collection of documents. An ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts. An ontology extractor is a software tool or algorithm designed to perform ontology extraction.
- Open extraction is a type of information extraction that is designed to extract structured data from unstructured or semi-structured sources, such as natural language text. An open extractor is a software tool or algorithm designed to perform open extraction.
- Question extraction is the process of identifying and extracting questions from a text document or collection of documents. A question extractor is a software tool or algorithm designed to perform question extraction.
- Relation extraction is the process of identifying and extracting relationships between entities from a text document or collection of documents. A relation extractor is a software tool or algorithm designed to perform relation extraction.
- Sentence extraction is the process of identifying and extracting individual sentences from a text document or collection of documents. A sentence extractor is a software tool or algorithm designed to perform sentence extraction.
- Term extraction is the process of identifying and extracting important or significant terms from a text document or collection of documents. A term extractor is a software tool or algorithm designed to perform term extraction.
- Tuple extraction is the process of identifying and extracting tuples from a text document or collection of documents. A tuple is a data structure that consists of a set of values, typically represented as a sequence of elements. A tuple extractor is a software tool or algorithm designed to perform tuple extraction.
- Video extraction is the process of identifying and extracting video content from a variety of sources, such as websites and video sharing platforms. A video extractor is a software tool or algorithm designed to perform video extraction.
Wikipedia:
- Concept mining
- Data mining
- Data scraping
- Discourse analysis
- Information extraction
- Knowledge extraction
- Lexical analysis
- Parsing
- Text mining
References:
- Text Analytics with Python (2016)
- Advanced Applications of Natural Language Processing for Performing Information Extraction (2015)
- Context-specific Consistencies in Information Extraction (2015)
- Domain Analysis for Knowledge Organization: Tools for Ontology Extraction (2015)
- Text Analysis Pipelines: Towards Ad-hoc Large-Scale Text Mining (2015)
- Knowledge Needs and Information Extraction: Towards an Artificial Consciousness (2013)
- Advances in Knowledge Discovery and Data Mining: Part 1 (2011)
- Advances in Knowledge Discovery and Data Mining: Part 2 (2011)
- Knowledge-Driven Multimedia Information Extraction and Ontology Evolution (2011)
- Methods for Mining and Summarizing Text Conversations (2011)
- Mining the Social Web (2011)
- Syntax-Based Collocation Extraction (2011)
See also:
100 Best Data Extractor Videos | 100 Best Extract Transform Load Videos | 100 Best Relation Extraction Videos | Extract Transform Load | Story Understanding Systems | Storytelling & Natural Language Understanding 2019
- Answer Extraction Module
- Automatic Relation Extraction 2019
- Collocation Extraction & Dialog Systems
- CorMet (Metaphor Extraction System)
- Keyphrase Extraction & Dialog Systems
- Extractive Summarization
- Metaphor Extraction
- News Extraction 2017
- Ontology Extraction Module
- Ontology Extractor
- Open Information Extraction
- Relation Extraction & Dialog Systems
- Relation Extraction & Question Answering Systems 2017
- Sentence Extraction
- Sentence Extraction Module
- Sentence Extractor
- Term Extractor & Dialog Systems
- Tuple Extraction