Relationship: trainedOn

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Total Relationships: 691

Source Entity Source Type Relationship Target Entity Type
Multilingual Transformer method trainedOn TED Talks material
Multilingual Transformer Model method trainedOn Tweets material
Multilingual Word Embeddings method trainedOn Spanglish material
Multimodal Meme Classifier method trainedOn Labelled Memes material
Multitask Dual Encoder method trainedOn Image Captioning Datasets material
Multitask Learning Model method trainedOn Multilingual News Articles material
N-Gram Model method trainedOn Scrambled Inputs otherentity
N-Gram Models method trainedOn Europarl Datasets material
NITS CNLP otherentity trainedOn Monolingual Data material
NSP BERT method trainedOn RoBERTa Corpus material
Naive Model method trainedOn Dataset Biases material
Named Entity Recognition task trainedOn Legal Corpora material
Named Entity Recognition task trainedOn Newswire Dataset material
Narrative Text Paragraphs material trainedOn Classifiers method
Natural Language Inference Based Leave One Out method trainedOn Synthetic Datasets material
Natural Language Understanding Models method trainedOn DarkNet Corpus material
Negated Event Identification task trainedOn sem Shared Task 2012 material
Negation Cue Detection task trainedOn sem Shared Task 2012 material
Negation Scope Resolution task trainedOn sem Shared Task 2012 material
Nested Entity Recognition task trainedOn Literary Texts material