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Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–378 of 378 papers

TitleStatusHype
Automatic cognate identification with gap-weighted string subsequences.—0
Modeling Word Meaning in Context with Substitute Vectors—0
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space—0
Improving Distributional Similarity with Lessons Learned from Word Embeddings—0
Embedding Word Similarity with Neural Machine Translation—0
Rehabilitation of Count-based Models for Word Vector Representations—0
Neural Word Embedding as Implicit Matrix Factorization—0
Improving Word Alignment using Word Similarity—0
KNET: A General Framework for Learning Word Embedding using Morphological Knowledge—0
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations—0
Learning Word Representations with Hierarchical Sparse Coding—0
Using Ellipsis Detection and Word Similarity for Transformation of Spoken Language into Grammatically Valid Sentences—0
Improving sparse word similarity models with asymmetric measures—0
Semantic Frame Identification with Distributed Word Representations—0
Latent Semantic Analysis Models on Wikipedia and TASA—0
TVD: A Reproducible and Multiply Aligned TV Series Dataset—0
Text Relatedness Based on a Word Thesaurus—0
Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence—0
Learning word embeddings efficiently with noise-contrastive estimation—0
Word similarity using constructions as contextual features—0
An Approach of Hybrid Hierarchical Structure for Word Similarity Computing by HowNet—0
Walk-based Computation of Contextual Word Similarity—0
SemEval-2012 Task 4: Evaluating Chinese Word Similarity—0
FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity—0
Modeling Sentences in the Latent Space—0
MIXCD: System Description for Evaluating Chinese Word Similarity at SemEval-2012—0
A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word-to-Word Similarity Metrics—0
PHACTS about activation-based word similarity effects—0
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Benchmark Results

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