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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Multi Hop Question Answering task requires Reasoning Chains material 8166.0
Multi Hop Question Answering task uses Debiased Datasets material 33370.0
Multi Hop Reading Comprehension task achieves State of the Art Results metric 37057.0
Multi Hop Reading Comprehension task addressedBy Heterogeneous Document Entity Graph method 39699.0
Multi Hop Reading Comprehension task requires Evidence Collection task 39553.0
Multi Hop Reading Comprehension task requires Question Decomposer method 28404.0
Multi Hop Reading Comprehension task requires Subquestion Generation method 37057.0
Multi Hop Retrieval task uses Encoder Decoder method 31473.0
Multi Instance Learning method develops RelationExtractor method 36376.0
Multi Instance Learning method enhances Encoder Decoder Architecture method 20897.0
Multi Instance Learning method improves Accuracy metric 36376.0
Multi Instance Learning method incorporates Latent Variables material 44144.0
Multi Instance Learning method usedFor Hate Crime Prediction task 8937.0
Multi Instance Learning method usedIn EdgeOrientedGraphNeuralModel method 9017.0
Multi Instance Learning method uses Graphical Model material 44144.0
Multi Instance Multi Label Learning method appliesTo Entity Typing task 42453.0
Multi Intent Benchmark Datasets material evaluates Unified Generative Framework method 3642.0
Multi Knowledge Reasoning method employs Attention Mechanism method 32792.0
Multi Knowledge Reasoning method evaluatedIn ROCStories material 32792.0
Multi Knowledge Reasoning method uses Entity Semantic Knowledge otherentity 32792.0