|
gptkbp:instanceOf
|
gptkb:Natural_Language_Processing_Task
|
|
gptkbp:application
|
Document Summarization
Legal Document Summarization
Meeting Minutes Summarization
News Summarization
Scientific Paper Summarization
|
|
gptkbp:assesses
|
gptkb:ROUGE
gptkb:METEOR
gptkb:BLEU
|
|
gptkbp:challenge
|
Avoiding Redundancy
Factual Consistency
Handling Long Documents
Maintaining Coherence
|
|
gptkbp:conference
|
gptkb:EMNLP
gptkb:COLING
gptkb:NAACL
gptkb:ACL
|
|
gptkbp:field
|
gptkb:artificial_intelligence
gptkb:Computational_Linguistics
|
|
gptkbp:firstResearch
|
1950s
|
|
gptkbp:goal
|
Produce concise and coherent summaries of longer texts
|
|
gptkbp:method
|
gptkb:Machine_Learning
Deep Learning
Sequence-to-Sequence Models
Rule-based Methods
Transformer Models
|
|
gptkbp:notableContributor
|
gptkb:Ani_Nenkova
gptkb:Chin-Yew_Lin
gptkb:Dragomir_Radev
gptkb:Kathleen_McKeown
gptkb:Julian_Kupiec
|
|
gptkbp:relatedTo
|
gptkb:museum
gptkb:Natural_Language_Understanding
Automatic Summarization
Text Generation
|
|
gptkbp:trainer
|
gptkb:DUC
gptkb:CNN/Daily_Mail
gptkb:Gigaword
gptkb:Multi-News
gptkb:XSum
|
|
gptkbp:type
|
Abstractive Summarization
Extractive Summarization
|
|
gptkbp:uses
|
gptkb:BART
gptkb:T5
gptkb:BERT
gptkb:GPT
Pre-trained Language Models
|
|
gptkbp:bfsParent
|
gptkb:Content_Modeling:_A_Domain-Independent_Approach_to_Text_Summarization
|
|
gptkbp:bfsLayer
|
5
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Text Summarization
|