SOTAVerified

Word Similarity

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

Papers

Showing 326–350 of 378 papers

TitleStatusHype
What a Nerd! Beating Students and Vector Cosine in the ESL and TOEFL Datasets—0
Part-of-Speech Relevance Weights for Learning Word Embeddings—0
Embracing Error to Enable Rapid Crowdsourcing—0
Semantic Word Clusters Using Signed Normalized Graph CutsCode0
Category Enhanced Word Embedding—0
Multimodal Skip-gram Using Convolutional Pseudowords—0
Learning Visual Features from Large Weakly Supervised Data—0
Component-Enhanced Chinese Character Embeddings—0
Learning Meta-Embeddings by Using Ensembles of Embedding SetsCode0
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes—0
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction—0
A Framework for the Construction of Monolingual and Cross-lingual Word Similarity Datasets—0
WordRank: Learning Word Embeddings via Robust RankingCode0
Do Multi-Sense Embeddings Improve Natural Language Understanding?—0
Relation extraction pattern ranking using word similarity—0
Unsupervised Morphology Induction Using Word Embeddings—0
Random Walks and Neural Network Language Models on Knowledge Bases—0
NASARI: a Novel Approach to a Semantically-Aware Representation of Items—0
Automatic cognate identification with gap-weighted string subsequences.—0
Deep Multilingual Correlation for Improved Word Embeddings—0
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models—0
Normalized Word Embedding and Orthogonal Transform for Bilingual Word Translation—0
Do Supervised Distributional Methods Really Learn Lexical Inference Relations?—0
Modeling Word Meaning in Context with Substitute Vectors—0
A Comparison of Word Similarity Performance Using Explanatory and Non-explanatory Texts—0
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Benchmark Results

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