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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Maximum Likelihood Objective method improves MefMax method 29717.0
Maximum Likelihood Objective method trains Automatic Image Description task 5370.0
Maximum Likelihood Training method addresses Unlikelihood Loss method 37596.0
Maximum Likelihood Training method appliesTo Czech Hand Tagged Corpus material 41521.0
Maximum Likelihood Training method appliesTo Wall Street Journal material 41521.0
Maximum Likelihood Training method comparesWith Continuous Space Translation Models method 1653.0
Maximum Likelihood Training method uses EM Algorithm method 20343.0
Maximum Margin Model method comparesWith Naive Bayes method 12586.0
Maximum Margin Reward Networks method outperforms Named Entity Recognition task 32737.0
Maximum Margin Reward Networks method outperforms Semantic Parsing task 32737.0
Maximum Matching method comparesWith Thai Word Segmentation task 12651.0
Maximum Matching method describes WordpieceTokenization method 31940.0
Maximum Matching method uses Bilingual Lexicon material 18866.0
Maximum Matching method uses Context Independent Strings material 19724.0
Maximum Matching method uses Onset First Principle method 18866.0
Maximum Mean Discrepancy metric comparesWith Generative Adversarial Network method 37031.0
Maximum Mean Discrepancy metric measures Domain Adaptation method 5071.0
Maximum Mutual Information metric appliedIn Sequence to Sequence Network method 23572.0
Maximum Mutual Information metric evaluatedIn Conversational Datasets material 23572.0
Maximum Mutual Information metric improves BLEU metric 23572.0