SOTAVerified

Word Similarity

Calculate a numerical score for the semantic similarity between two words.

Papers

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Showing 326–350 of 378 papers

TitleStatusHype
Cross-lingual Semantic Specialization via Lexical Relation Induction—0
Cross-Lingual Syntactically Informed Distributed Word Representations—0
Cross-topic distributional semantic representations via unsupervised mappings—0
Deep Multilingual Correlation for Improved Word Embeddings—0
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings—0
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings—0
Distributed representation of multi-sense words: A loss-driven approach—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Do Multi-Sense Embeddings Improve Natural Language Understanding?—0
Do Supervised Distributional Methods Really Learn Lexical Inference Relations?—0
Do We Need Neural Models to Explain Human Judgments of Acceptability?—0
DRCoVe: An Augmented Word Representation Approach using Distributional and Relational Context—0
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses—0
Effect of Post-processing on Contextualized Word Representations—0
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space—0
Embedding Learning Through Multilingual Concept Induction—0
Embeddings models for Buddhist Sanskrit—0
Embedding Word Similarity with Neural Machine Translation—0
Embracing Error to Enable Rapid Crowdsourcing—0
Evaluating Ways of Adapting Word Similarity—0
Evaluation of Morphological Embeddings for English and Russian Languages—0
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity—0
Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks—0
EVALution-MAN: A Chinese Dataset for the Training and Evaluation of DSMs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Context-to-VectorSpearman's Rho78.9—Unverified
2Bert2VecSpearman's Rho72.8—Unverified
3SkipGramSpearman's Rho61—Unverified