SOTAVerified

Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 276–300 of 378 papers

TitleStatusHype
QLUT at SemEval-2017 Task 2: Word Similarity Based on Word Embedding and Knowledge Base—0
RUFINO at SemEval-2017 Task 2: Cross-lingual lexical similarity by extending PMI and word embeddings systems with a Swadesh's-like list—0
SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity—0
Sew-Embed at SemEval-2017 Task 2: Language-Independent Concept Representations from a Semantically Enriched WikipediaCode0
Citius at SemEval-2017 Task 2: Cross-Lingual Similarity from Comparable Corpora and Dependency-Based Contexts—0
Improve Lexicon-based Word Embeddings By Word Sense Disambiguation—0
Learning Rare Word Representations using Semantic Bridging—0
Reconstruction of Word Embeddings from Sub-Word Parameters—0
A Critique of a Critique of Word Similarity Datasets: Sanity Check or Unnecessary Confusion?—0
A Simple Approach to Learn Polysemous Word EmbeddingsCode0
Improved Word Representation Learning with SememesCode0
Semantic Word Clusters Using Signed Spectral Clustering—0
Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaningCode0
Neural Embeddings of Graphs in Hyperbolic Space—0
Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems—0
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering—0
Cross-Lingual Syntactically Informed Distributed Word Representations—0
Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content MeasurementCode0
Reranking Translation Candidates Produced by Several Bilingual Word Similarity Sources—0
Construction of a Japanese Word Similarity DatasetCode0
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasksCode0
All-but-the-Top: Simple and Effective Postprocessing for Word RepresentationsCode0
Implicitly Incorporating Morphological Information into Word Embedding—0
Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation—0
Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling—0
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Benchmark Results

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