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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Byte Level Models method appliesTo Pre-Training method 4910.0
Byte Level Models method isBasedOn Transformer Architecture method 26769.0
Byte Pair Encoding method comparesWith Noisy Input otherentity 29136.0
Byte Pair Encoding method isA Neural Machine Translation method 14625.0
Byte Pair Encoding method measures Performance metric 19927.0
Byte Pair Encoding method usedFor Substitution Ciphers material 31576.0
Byte Pair Encoding method usedIn Inuktitut material 20066.0
Byte to Span method comparesWith Named Entity Recognition task 23015.0
Byte to Span method comparesWith Part of Speech Tagging task 23015.0
Byte to Span method uses LSTM method 23015.0
C BiGRU method uses FastText method 24389.0
C DNPG method evaluatedIn Quora Question Pairs material 4671.0
C DNPG method evaluatedIn Twitter URLs material 4671.0
C DNPG method extends Granularity Decomposition method 4671.0
C DNPG method usedFor Neural Paraphrase Generation task 4671.0
C LSTM method captures SentimentInformation material 33555.0
C LSTM method includes Memory Unit otherentity 33555.0
C LSTM method introduces Forgetting Rates otherentity 33555.0
C LSTM method outperforms Datasets material 33555.0
C LSTM method trainedOn Arxiv material 25991.0