Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
text summarization model |
| gptkbp:architecture |
BERT encoder with summarization layers
|
| gptkbp:basedOn |
gptkb:BERT
|
| gptkbp:citation |
1000+
|
| gptkbp:codeAvailable |
https://github.com/nlpyang/BertSum
|
| gptkbp:designedFor |
extractive summarization
|
| gptkbp:developedBy |
gptkb:Mirella_Lapata
Yang Liu |
| https://www.w3.org/2000/01/rdf-schema#label |
BERTSUM
|
| gptkbp:influenced |
gptkb:PEGASUS
gptkb:BigBird gptkb:Longformer |
| gptkbp:input |
gptkb:text
|
| gptkbp:language |
English
|
| gptkbp:notablePublication |
Text Summarization with Pretrained Encoders
|
| gptkbp:openSource |
true
|
| gptkbp:output |
summary
|
| gptkbp:paperVenue |
gptkb:EMNLP_2019
|
| gptkbp:publishedIn |
2019
|
| gptkbp:trainer |
gptkb:XSum
CNN/DailyMail |
| gptkbp:usedFor |
document summarization
|
| gptkbp:uses |
segment embeddings
sentence-level classification |
| gptkbp:bfsParent |
gptkb:CNN/Daily_Mail
|
| gptkbp:bfsLayer |
7
|