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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Document Clustering method uses Unigram Features otherentity 28839.0
Document Clustering method uses Wasserstein Distance metric 36993.0
Document Clustering method uses Word Embedding Features material 28839.0
Document Clusters material benefitsFrom Neural Model method 6574.0
Document Clusters material uses Latent Characteristics otherentity 36129.0
Document Collection material contains Croatian Text material 7727.0
Document Compression task resultsIn Coherent Document Compressions otherentity 35118.0
Document Context material affects gap filling task 27856.0
Document Corpora otherentity appliesTo life sciences task 44687.0
Document Coverage task predicts Relation Extraction task 26777.0
Document Dataset material evaluates Image Mediated Learning method 34784.0
Document Embedding material usedIn Metaphor Identification task 22224.0
Document Embeddings method evaluatedIn Novel Comprehensive Dataset material 41664.0
Document Embeddings method usedBy LASER method 33277.0
Document Embeddings method usedBy LaBSE method 33277.0
Document Embeddings method usedBy Sentence BERT method 33277.0
Document Embeddings method usefulFor Sentiment Analysis task 39139.0
Document Embeddings method usefulFor Topic Classification task 39139.0
Document Emotion Analysis task analyzes Basic Emotions material 18774.0
Document Emotion Analysis task evaluates Term Frequency metric 18774.0