FRED - Machine Reading for the Semantic Web (Q3125566): Difference between revisions
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(Created a new Item: FRED - Machine Reading for the Semantic Web, FRED is able to parse natural language text in 48 different languages and transform it into linked data. It is implemented in Python and available as REST service and as a Python library suite. FRED leverages Natural Language Processing components for performing Named Entity Resolution, Coreference Resolution, and Word Sense Disambiguation.) |
(Created claim: start time (P20): 2013) |
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| Property / official website: http://wit.istc.cnr.it/stlab-tools/fred/ / rank | |||||||||||||||
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| Property / language of work or name: English / rank | |||||||||||||||
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| Property / email address: mailto:stlab@CNR.IT / rank | |||||||||||||||
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| Property / distributed by: Institute of Cognitive Sciences and Technologies / rank | |||||||||||||||
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| Property / has status: prototype / rank | |||||||||||||||
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| Property / documentation URL: http://semantic-web-journal.org/system/files/swj1379.pdf / rank | |||||||||||||||
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2013
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| Property / start time: 2013 / rank | |||||||||||||||
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Latest revision as of 17:23, 24 September 2021
FRED is able to parse natural language text in 48 different languages and transform it into linked data. It is implemented in Python and available as REST service and as a Python library suite. FRED leverages Natural Language Processing components for performing Named Entity Resolution, Coreference Resolution, and Word Sense Disambiguation.
- FRED
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | FRED - Machine Reading for the Semantic Web |
FRED is able to parse natural language text in 48 different languages and transform it into linked data. It is implemented in Python and available as REST service and as a Python library suite. FRED leverages Natural Language Processing components for performing Named Entity Resolution, Coreference Resolution, and Word Sense Disambiguation. |
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2013
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