SOTAVerified

Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 378 papers

TitleStatusHype
Subword-level Word Vector Representations for KoreanCode0
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search—0
Explicit Retrofitting of Distributional Word Vectors—0
Querying Word Embeddings for Similarity and Relatedness—0
Wolves at SemEval-2018 Task 10: Semantic Discrimination based on Knowledge and Association—0
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings—0
Pruning Basic Elements for Better Automatic Evaluation of Summaries—0
Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings—0
Legal Document Retrieval using Document Vector Embeddings and Deep Learning—0
Adversarial Training of Word2Vec for Basket Completion—0
Aff2Vec: Affect--Enriched Distributional Word Representations—0
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical ResourcesCode0
Bilingual Embeddings with Random Walks over Multilingual Wordnets—0
Can Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?—0
Extrofitting: Enriching Word Representation and its Vector Space with Semantic LexiconsCode0
A Deeper Look into Dependency-Based Word Embeddings—0
Word2Bits - Quantized Word VectorsCode0
Understanding and Improving Multi-Sense Word Embeddings via Extended Robust Principal Component Analysis—0
Can Network Embedding of Distributional Thesaurus be Combined with Word Vectors for Better Representation?—0
Calculating the similarity between words and sentences using a lexical database and corpus statisticsCode0
Embedding Learning Through Multilingual Concept Induction—0
Unsupervised Low-Dimensional Vector Representations for Words, Phrases and Text that are Transparent, Scalable, and produce Similarity Metrics that are Complementary to Neural Embeddings—0
Hybed: Hyperbolic Neural Graph Embedding—0
Towards Building Affect sensitive Word Distributions—0
Unsupervised Morphological Expansion of Small Datasets for Improving Word Embeddings—0
Show:102550
← PrevPage 10 of 16Next →

Benchmark Results

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