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Intelligence Task Ontology
Last uploaded:
September 9, 2022
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Preferred Name | Text summarization | |
Synonyms |
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ID |
https://identifiers.org/ito:ITO_01066x |
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refactor_comment |
Need to distinguish between 'abstractive' and 'extractive' summarisation and assign classes accordingly. Related Github issue: https://github.com/OpenBioLink/ITO/issues/21
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hasDefinition |
Shortening a set of data computationally, to create a summary that represents the most important or relevant information within the original content (Source: Wikipedia). (Source: paperswithcode.com) Shortening a set of data computationally, to create a summary that represents the most important or relevant information within the original content (Source: Wikipedia).
Image source: [LONG DOCUMENT SUMMARIZATION WITH TOP-DOWN AND BOTTOM-UP INFERENCE](https://arxiv.org/pdf/2203.07586v1.pdf) (Source: paperswithcode.com) Shortening a set of data computationally, to create a summary that represents the most important or relevant information within the original content (Source: Wikipedia).
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ito:papers_with_code_id |
Text Summarization
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label |
Text summarization
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prefixIRI |
ITO_01066x
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prefLabel |
Text summarization
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subClassOf |
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Mapping To | Ontology | Source |
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https://w3id.org/peo#text_summarization | PEO_ONTOLOGY | LOOM |
https://w3id.org/peo#text_summarization | PEO_ONTOLOGY | LOOM |