SOTAVerified

Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 378 papers

TitleStatusHype
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
Citius at SemEval-2017 Task 2: Cross-Lingual Similarity from Comparable Corpora and Dependency-Based Contexts—0
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space—0
A Proposal of Automatic Error Correction in Text—0
Embeddings models for Buddhist Sanskrit—0
Embedding Word Similarity with Neural Machine Translation—0
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning—0
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View—0
Embracing Error to Enable Rapid Crowdsourcing—0
Bridging Natural Language Processing and Psycholinguistics: computationally grounded semantic similarity datasets for Basque and Spanish—0
Implicitly Incorporating Morphological Information into Word Embedding—0
Evaluating Ways of Adapting Word Similarity—0
Aff2Vec: Affect--Enriched Distributional Word Representations—0
Evaluation of Morphological Embeddings for English and Russian Languages—0
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity—0
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images—0
EVALution-MAN: A Chinese Dataset for the Training and Evaluation of DSMs—0
A folksonomy-based approach for profiling human perception on word similarity—0
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Benchmark Results

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