FRED - Machine Reading for the Semantic Web (Q3125566): Difference between revisions

@@ Property / official website @@
+http://wit.istc.cnr.it/stlab-tools/fred/
@@ Property / official website: http://wit.istc.cnr.it/stlab-tools/fred/ / rank @@
+Normal rank
@@ Property / language of work or name @@
+English
@@ Property / language of work or name: English / rank @@
+Normal rank
@@ Property / email address @@
+mailto:stlab@CNR.IT
@@ Property / email address: mailto:stlab@CNR.IT / rank @@
+Normal rank
@@ Property / distributed by @@
+Institute of Cognitive Sciences and Technologies
+Normal rank
@@ Property / has status @@
+prototype
@@ Property / has status: prototype / rank @@
+Normal rank
@@ Property / documentation URL @@
+http://semantic-web-journal.org/system/files/swj1379.pdf
+Normal rank
@@ Property / start time @@
+Timestamp +2013-00-00T00:00:00Z
Timezone +00:00
Calendar Gregorian
Precision 1 year
Before 0
After 0
-Timestamp
++2013-00-00T00:00:00Z
-Timezone
++00:00
-Calendar
+Gregorian
-Precision
+year
 Before
 After
@@ Property / start time: 2013 / rank @@
+Normal rank

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.	FRED