Statements (49)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Natural Language Processing Task
|
| gptkbp:application |
gptkb:museum
gptkb:Question_Answering Knowledge Base Construction |
| gptkbp:assesses |
gptkb:Recall
Precision F1 Score |
| gptkbp:challenge |
Ambiguity in Language
Complex Sentence Structures Lack of Labeled Data |
| gptkbp:conference |
gptkb:EMNLP
gptkb:COLING gptkb:NAACL gptkb:ACL |
| gptkbp:example |
Extracting 'located in' relation between organization and location
Extracting 'born in' relation between person and place Extracting 'works for' relation between person and organization |
| gptkbp:field |
gptkb:Natural_Language_Processing
gptkb:Information_Extraction |
| gptkbp:firstAppearance |
1990s
|
| gptkbp:goal |
Identify semantic relationships between entities in text
|
| https://www.w3.org/2000/01/rdf-schema#label |
Relation Extraction
|
| gptkbp:input |
gptkb:text
|
| gptkbp:method |
gptkb:Neural_Networks
Pre-trained Language Models Rule-based Methods Supervised Learning Distant Supervision |
| gptkbp:notable_for |
Graph Neural Networks
BERT-based Models Distant Supervision with Noise Reduction Pattern-based Approaches |
| gptkbp:output |
Entity Pairs with Relations
|
| gptkbp:publishedIn |
gptkb:Journal_of_Artificial_Intelligence_Research
gptkb:Computational_Linguistics |
| gptkbp:relatedTo |
gptkb:Named_Entity_Recognition
Entity Linking Open Information Extraction |
| gptkbp:trainer |
gptkb:SemEval
ACE 2005 NYT Corpus TACRED |
| gptkbp:usedBy |
Digital Assistants
Search Engines Social Media Analysis Knowledge Graphs Biomedical Text Mining |
| gptkbp:bfsParent |
gptkb:Information_Extraction
|
| gptkbp:bfsLayer |
7
|