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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Multi Constraint Structured Hinge Loss method improves CoNLL Score metric 28457.0
Multi Constraint Structured Hinge Loss method usedFor Named Entity Recognition task 28457.0
Multi Criteria Chinese Word Segmentation task achieves State of the Art metric 38514.0
Multi Criteria Chinese Word Segmentation task comparesWith Multi criteria models otherentity 32220.0
Multi Criteria Chinese Word Segmentation task evaluatedIn Eight Datasets material 32220.0
Multi Criteria Chinese Word Segmentation task uses Transformer Encoder method 32220.0
Multi DYLE method evaluatedBy ROUGE 1 metric 37855.0
Multi Dataset Training method addresses KnowledgeDistillation method 31505.0
Multi Decoder method achievesScore BLEU metric 21722.0
Multi Decoder method appliesTo CTC Multi Task method 20664.0
Multi Decoder method evaluatedIn Fisher CallHome material 21722.0
Multi Decoder method uses Joint Decoding method 20664.0
Multi Decoder Architecture method enables Offline Speech Translation task 20724.0
Multi Device Dialogue task uses Parsing task 28727.0
Multi Device Dialogue task uses Speech Recognition task 28727.0
Multi Dimensional Category Model method uses Multi Dimensional Framework method 6284.0
Multi Dimensional Dialogue Level Metric metric comparesWith State of the Art Metric metric 31208.0
Multi Dimensional Dialogue Level Metric metric consistsOf Sub Metrics metric 31208.0
Multi Dimensional Dialogue Level Metric metric testedOn Evaluation Benchmarks metric 31208.0
Multi Dimensional Feature Merger method improves Question Answering task 6449.0