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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Mass Count Distinction task appliedIn Error Detection task 6746.0
Mass Count Distinction task uses Corpus material 12988.0
Mass Digitization task enables Digital Library material 7769.0
Mass Shootings material analyzedIn Political Polarization otherentity 21980.0
Massive Text Embedding Benchmark material covers Clustering method 42941.0
Massive Text Embedding Benchmark material covers Reranking task 42941.0
Massive Text Embedding Benchmark material covers Semantic Textual Similarity task 42941.0
Massive Text Embedding Benchmark material evaluates Text Embeddings method 42941.0
Massive Text Embedding Benchmark material involves Benchmarking task 42941.0
Massively Multilingual Diagnostic Suite otherentity provides Multi Dataset Evaluation Capabilities otherentity 30738.0
Massively Multilingual Models material enables Machine Translation task 27474.0
Massively Multilingual NMT Models method evaluatedIn TED talks multilingual corpus material 21901.0
Massively Multilingual NMT Models method outperforms Bilingual Baselines method 21901.0
Massively Multilingual Transformers method appliesTo Type Level Lexical Tasks task 38437.0
Massively Multilingual Transformers method enhances Bilingual Lexicon Induction task 38437.0
Massively Multilingual Transformers method enhances Cross Lingual Sentence Retrieval task 38437.0
Massively Multilingual Transformers method enhances Cross-Lingual Word Similarity task 38437.0
Massively Multilingual Transformers method improves Few-Shot Transfer method 30339.0
Massively Multilingual Transformers method leverages BabelNet material 38437.0
Massively Multilingual Transformers method usedFor Zero Shot Transfer method 30339.0