SOTAVerified

Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 378 papers

TitleStatusHype
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information PreservingCode0
Text classification with word embedding regularization and soft similarity measureCode0
Word2Bits - Quantized Word VectorsCode0
SemGloVe: Semantic Co-occurrences for GloVe from BERTCode0
Analyzing Continuous Semantic Shifts with Diachronic Word Similarity MatricesCode0
HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic AnalysisCode0
Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based GraphCode0
A Simple Approach to Learn Polysemous Word EmbeddingsCode0
How does BERT capture semantics? A closer look at polysemous wordsCode0
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasksCode0
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine TranslationCode0
LGDE: Local Graph-based Dictionary ExpansionCode0
Sentence Structure and Word Relationship Modeling for Emphasis SelectionCode0
Imparting Interpretability to Word Embeddings while Preserving Semantic StructureCode0
Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaningCode0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
Improved Biomedical Word Embeddings in the Transformer EraCode0
Making Fast Graph-based Algorithms with Graph Metric EmbeddingsCode0
Improved Word Representation Learning with SememesCode0
SeVeN: Augmenting Word Embeddings with Unsupervised Relation VectorsCode0
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph ModularityCode0
Sew-Embed at SemEval-2017 Task 2: Language-Independent Concept Representations from a Semantically Enriched WikipediaCode0
Matrix Factorization using Window Sampling and Negative Sampling for Improved Word RepresentationsCode0
SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social MediaCode0
Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product ManifoldCode0
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Benchmark Results

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