SOTAVerified

Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 378 papers

TitleStatusHype
Learning Numeral Embeddings—0
Learning Rare Word Representations using Semantic Bridging—0
Learning to Generate Word Representations using Subword Information—0
Learning Visual Features from Large Weakly Supervised Data—0
Learning word embeddings efficiently with noise-contrastive estimation—0
Learning Word Embeddings from Intrinsic and Extrinsic Views—0
Learning Word Embeddings from Speech—0
Learning Word Embeddings without Context Vectors—0
Learning Word Representations with Hierarchical Sparse Coding—0
Learning Word Representations with Regularization from Prior Knowledge—0
Learning Word Sense Embeddings from Word Sense Definitions—0
Learn Interpretable Word Embeddings Efficiently with von Mises-Fisher Distribution—0
Legal Document Retrieval using Document Vector Embeddings and Deep Learning—0
Leveraging multilingual transfer for unsupervised semantic acoustic word embeddings—0
LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020—0
Mahtab at SemEval-2017 Task 2: Combination of Corpus-based and Knowledge-based Methods to Measure Semantic Word Similarity—0
Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information—0
Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillation—0
Medical Concept Embeddings via Labeled Background Corpora—0
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings—0
Memory, Show the Way: Memory Based Few Shot Word Representation Learning—0
MIXCD: System Description for Evaluating Chinese Word Similarity at SemEval-2012—0
Modeling Sentences in the Latent Space—0
Modeling Word Meaning in Context with Substitute Vectors—0
Modifications of Machine Translation Evaluation Metrics by Using Word Embeddings—0
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Benchmark Results

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