SOTAVerified

Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 378 papers

TitleStatusHype
Comparison between the Structures of Word Co-occurrence and Word Similarity Networks for Ill-formed and Well-formed Texts in Taiwan Mandarin—0
Hybed: Hyperbolic Neural Graph Embedding—0
Identity-sensitive Word Embedding through Heterogeneous Networks—0
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search—0
Features of word similarity—0
Implanting Rational Knowledge into Distributed Representation at Morpheme Level—0
Category Enhanced Word Embedding—0
Implicitly Incorporating Morphological Information into Word Embedding—0
A New Anchor Word Selection Method for the Separable Topic Discovery—0
Improved Word Embeddings with Implicit Structure Information—0
Improve Lexicon-based Word Embeddings By Word Sense Disambiguation—0
FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity—0
Improving Contextual Representation with Gloss Regularized Pre-training—0
Improving Contextual Representation with Gloss Regularized Pre-training—0
Improving Distributional Similarity with Lessons Learned from Word Embeddings—0
Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings—0
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models—0
Improving Multilingual Neural Machine Translation For Low-Resource Languages: French, English - Vietnamese—0
A Rule-based/BPSO Approach to Produce Low-dimensional Semantic Basis Vectors Set—0
A Locally Linear Procedure for Word Translation—0
Improving sparse word similarity models with asymmetric measures—0
Improving Word Alignment using Word Similarity—0
Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models—0
Improving Word Embeddings Using Kernel PCA—0
Affordance Extraction and Inference based on Semantic Role Labeling—0
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Benchmark Results

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