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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Bipartite Matching Model method outperforms IBM Model 4 method 24230.0
Bipolar Ramp Loss method appliesTo Machine Translation task 26798.0
Bipolar Ramp Loss method appliesTo Semantic Parsing task 26798.0
Bipolar Ramp Loss method comparesWith Non-Bipolar Ramp Loss method 26798.0
Bird Species Identification task measuredBy Accuracy metric 7488.0
Bird Species Identification task uses Audio Data material 7488.0
Bird Species Identification task uses Bigram Model method 7488.0
Bird Species Identification task uses Gaussian Mixture Model method 7488.0
Bird Species Identification task uses Mel Frequency Cepstral Coefficients material 7488.0
Bird Species Identification task uses Pitch metric 7488.0
Bird Species Identification task uses Speech Recognition task 7488.0
Bird Species Identification task uses Timbre material 7488.0
Bit Balanced Constraint otherentity appliedIn Bayesian Clustering for Text Hashing method 462.0
Bit Flipping method optimizes B CP Model otherentity 32465.0
Bit Mask Technology method enhances Chinese Document Revision task 18224.0
Bit Uncorrected Constraint otherentity appliedIn Bayesian Clustering for Text Hashing method 462.0
Bit Vector Encoding method employs Constraint Solver method 36064.0
Bit Vector Encoding method supports Join Operation task 36064.0
Bitag Hidden Markov Model method comparesWith Supertagger method 36162.0
Bitext material trainedOn Reordering Model method 6562.0