SOTAVerified

Word Similarity

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

Papers

Showing 226–250 of 378 papers

TitleStatusHype
Querying Word Embeddings for Similarity and Relatedness—0
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings—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
Can Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?—0
Bilingual Embeddings with Random Walks over Multilingual Wordnets—0
Extrofitting: Enriching Word Representation and its Vector Space with Semantic LexiconsCode0
A Deeper Look into Dependency-Based Word Embeddings—0
Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from SpeechCode1
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
Towards Building Affect sensitive Word Distributions—0
Hybed: Hyperbolic Neural Graph Embedding—0
Unsupervised Morphological Expansion of Small Datasets for Improving Word Embeddings—0
An Unsupervised Approach for Mapping between Vector Spaces—0
Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks—0
Learning Word Embeddings from Speech—0
A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding—0
Injecting Word Embeddings with Another Language's Resource : An Application of Bilingual Embeddings—0
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Benchmark Results

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